Spaces:
Runtime error
Runtime error
Displays model prediction along with explanation
Browse files- app.py +8 -14
- image_posterior.py +10 -3
- labels.json +1000 -0
app.py
CHANGED
@@ -3,11 +3,12 @@ from pyexpat import model
|
|
3 |
from statistics import mode
|
4 |
import numpy as np
|
5 |
import gradio as gr
|
6 |
-
|
7 |
import argparse
|
8 |
import os
|
9 |
from os.path import exists, dirname
|
10 |
import sys
|
|
|
11 |
import flask
|
12 |
|
13 |
parent_dir = dirname(os.path.abspath(os.getcwd()))
|
@@ -18,19 +19,11 @@ from bayes.data_routines import get_dataset_by_name
|
|
18 |
from bayes.models import *
|
19 |
from image_posterior import create_gif
|
20 |
|
21 |
-
BLENHEIM_SPANIEL_CLASS = 156
|
22 |
-
|
23 |
|
24 |
def get_image_data(image_name):
|
25 |
"""Gets the image data and model."""
|
26 |
-
image
|
27 |
-
|
28 |
-
image = get_dataset_by_name("imagenet_diego", get_label=False)
|
29 |
-
model_and_data = process_imagenet_get_model(image)
|
30 |
-
elif (image_name == "imagenet_french_bulldog"):
|
31 |
-
image = get_dataset_by_name("imagenet_french_bulldog", get_label=False)
|
32 |
-
model_and_data = process_imagenet_get_model(image)
|
33 |
-
|
34 |
|
35 |
return image, model_and_data
|
36 |
|
@@ -67,7 +60,8 @@ def segmentation_generation(image_name, c_width, n_top, n_gif_imgs):
|
|
67 |
xtrain = get_xtrain(segments)
|
68 |
|
69 |
prediction = np.argmax(cur_model(xtrain[:1]), axis=1)
|
70 |
-
|
|
|
71 |
|
72 |
# Compute explanation
|
73 |
exp_init = BayesLocalExplanations(training_data=xtrain,
|
@@ -77,13 +71,13 @@ def segmentation_generation(image_name, c_width, n_top, n_gif_imgs):
|
|
77 |
verbose=True)
|
78 |
rout = exp_init.explain(classifier_f=cur_model,
|
79 |
data=np.ones_like(xtrain[0]),
|
80 |
-
label=
|
81 |
cred_width=c_width,
|
82 |
focus_sample=False,
|
83 |
l2=False)
|
84 |
|
85 |
# Create the gif of the explanation
|
86 |
-
return create_gif(rout['blr'], image_name, segments, instance, n_gif_imgs, n_top)
|
87 |
|
88 |
def image_mod(image):
|
89 |
return image.rotate(45)
|
|
|
3 |
from statistics import mode
|
4 |
import numpy as np
|
5 |
import gradio as gr
|
6 |
+
|
7 |
import argparse
|
8 |
import os
|
9 |
from os.path import exists, dirname
|
10 |
import sys
|
11 |
+
import json
|
12 |
import flask
|
13 |
|
14 |
parent_dir = dirname(os.path.abspath(os.getcwd()))
|
|
|
19 |
from bayes.models import *
|
20 |
from image_posterior import create_gif
|
21 |
|
|
|
|
|
22 |
|
23 |
def get_image_data(image_name):
|
24 |
"""Gets the image data and model."""
|
25 |
+
image = get_dataset_by_name(image_name, get_label=False)
|
26 |
+
model_and_data = process_imagenet_get_model(image)
|
|
|
|
|
|
|
|
|
|
|
|
|
27 |
|
28 |
return image, model_and_data
|
29 |
|
|
|
60 |
xtrain = get_xtrain(segments)
|
61 |
|
62 |
prediction = np.argmax(cur_model(xtrain[:1]), axis=1)
|
63 |
+
if image_name in ["imagenet_diego", "imagenet_french_bulldog"]:
|
64 |
+
assert prediction == label, f"Prediction is {prediction} not {label}"
|
65 |
|
66 |
# Compute explanation
|
67 |
exp_init = BayesLocalExplanations(training_data=xtrain,
|
|
|
71 |
verbose=True)
|
72 |
rout = exp_init.explain(classifier_f=cur_model,
|
73 |
data=np.ones_like(xtrain[0]),
|
74 |
+
label=int(prediction),
|
75 |
cred_width=c_width,
|
76 |
focus_sample=False,
|
77 |
l2=False)
|
78 |
|
79 |
# Create the gif of the explanation
|
80 |
+
return create_gif(rout['blr'], image_name, segments, instance, prediction[0], n_gif_imgs, n_top)
|
81 |
|
82 |
def image_mod(image):
|
83 |
return image.rotate(45)
|
image_posterior.py
CHANGED
@@ -22,6 +22,7 @@ import ffmpeg
|
|
22 |
import lime.lime_tabular as baseline_lime_tabular
|
23 |
import shap
|
24 |
import shutil
|
|
|
25 |
|
26 |
# Make sure we can get bayes explanations
|
27 |
parent_dir = dirname(os.path.abspath(os.getcwd()))
|
@@ -31,6 +32,11 @@ from bayes.explanations import BayesLocalExplanations, explain_many
|
|
31 |
from bayes.data_routines import get_dataset_by_name
|
32 |
from bayes.models import *
|
33 |
|
|
|
|
|
|
|
|
|
|
|
34 |
def fill_segmentation(values, segmentation, image, n_max=5):
|
35 |
max_segs = np.argsort(abs(values))[-n_max:]
|
36 |
out = np.zeros((224, 224))
|
@@ -42,7 +48,7 @@ def fill_segmentation(values, segmentation, image, n_max=5):
|
|
42 |
c_image[segmentation == i, c] = np.max(image)
|
43 |
return c_image.astype(int), out.astype(int)
|
44 |
|
45 |
-
def create_gif(explanation_blr, img_name, segments, image, n_images=20, n_max=5):
|
46 |
"""Create the gif corresponding to the image explanation.
|
47 |
|
48 |
Arguments:
|
@@ -54,8 +60,7 @@ def create_gif(explanation_blr, img_name, segments, image, n_images=20, n_max=5)
|
|
54 |
n_max: The number of superpixels to draw on the image.
|
55 |
"""
|
56 |
draws = explanation_blr.draw_posterior_samples(n_images)
|
57 |
-
#
|
58 |
-
print("tempfile.tempdir:", tempfile.TemporaryDirectory().name)
|
59 |
temp_path = tempfile.TemporaryDirectory().name
|
60 |
for root, dirs, files in os.walk(temp_path):
|
61 |
for f in files:
|
@@ -63,6 +68,7 @@ def create_gif(explanation_blr, img_name, segments, image, n_images=20, n_max=5)
|
|
63 |
for d in dirs:
|
64 |
shutil.rmtree(os.path.join(root, d))
|
65 |
|
|
|
66 |
with tempfile.TemporaryDirectory() as tmpdirname:
|
67 |
paths = []
|
68 |
for i, d in tqdm(enumerate(draws)):
|
@@ -87,6 +93,7 @@ def create_gif(explanation_blr, img_name, segments, image, n_images=20, n_max=5)
|
|
87 |
html = (
|
88 |
"<div >"
|
89 |
f"<img src='file/{img_name}_explanation.gif' alt='explanation gif'/>"
|
|
|
90 |
+ "</div>"
|
91 |
)
|
92 |
return html
|
|
|
22 |
import lime.lime_tabular as baseline_lime_tabular
|
23 |
import shap
|
24 |
import shutil
|
25 |
+
import json
|
26 |
|
27 |
# Make sure we can get bayes explanations
|
28 |
parent_dir = dirname(os.path.abspath(os.getcwd()))
|
|
|
32 |
from bayes.data_routines import get_dataset_by_name
|
33 |
from bayes.models import *
|
34 |
|
35 |
+
labels_dict = {}
|
36 |
+
with open("labels.json") as file:
|
37 |
+
labels_dict = json.load(file)
|
38 |
+
|
39 |
+
|
40 |
def fill_segmentation(values, segmentation, image, n_max=5):
|
41 |
max_segs = np.argsort(abs(values))[-n_max:]
|
42 |
out = np.zeros((224, 224))
|
|
|
48 |
c_image[segmentation == i, c] = np.max(image)
|
49 |
return c_image.astype(int), out.astype(int)
|
50 |
|
51 |
+
def create_gif(explanation_blr, img_name, segments, image, prediction, n_images=20, n_max=5):
|
52 |
"""Create the gif corresponding to the image explanation.
|
53 |
|
54 |
Arguments:
|
|
|
60 |
n_max: The number of superpixels to draw on the image.
|
61 |
"""
|
62 |
draws = explanation_blr.draw_posterior_samples(n_images)
|
63 |
+
# remove any existing files
|
|
|
64 |
temp_path = tempfile.TemporaryDirectory().name
|
65 |
for root, dirs, files in os.walk(temp_path):
|
66 |
for f in files:
|
|
|
68 |
for d in dirs:
|
69 |
shutil.rmtree(os.path.join(root, d))
|
70 |
|
71 |
+
# Setup temporary directory to store paths in
|
72 |
with tempfile.TemporaryDirectory() as tmpdirname:
|
73 |
paths = []
|
74 |
for i, d in tqdm(enumerate(draws)):
|
|
|
93 |
html = (
|
94 |
"<div >"
|
95 |
f"<img src='file/{img_name}_explanation.gif' alt='explanation gif'/>"
|
96 |
+
f"<p>Prediction is {prediction}: {labels_dict[prediction]}</p>"
|
97 |
+ "</div>"
|
98 |
)
|
99 |
return html
|
labels.json
ADDED
@@ -0,0 +1,1000 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{"0": "tench, Tinca tinca",
|
2 |
+
"1": "goldfish, Carassius auratus",
|
3 |
+
"2": "great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias",
|
4 |
+
"3": "tiger shark, Galeocerdo cuvieri",
|
5 |
+
"4": "hammerhead, hammerhead shark",
|
6 |
+
"5": "electric ray, crampfish, numbfish, torpedo",
|
7 |
+
"6": "stingray",
|
8 |
+
"7": "cock",
|
9 |
+
"8": "hen",
|
10 |
+
"9": "ostrich, Struthio camelus",
|
11 |
+
"10": "brambling, Fringilla montifringilla",
|
12 |
+
"11": "goldfinch, Carduelis carduelis",
|
13 |
+
"12": "house finch, linnet, Carpodacus mexicanus",
|
14 |
+
"13": "junco, snowbird",
|
15 |
+
"14": "indigo bunting, indigo finch, indigo bird, Passerina cyanea",
|
16 |
+
"15": "robin, American robin, Turdus migratorius",
|
17 |
+
"16": "bulbul",
|
18 |
+
"17": "jay",
|
19 |
+
"18": "magpie",
|
20 |
+
"19": "chickadee",
|
21 |
+
"20": "water ouzel, dipper",
|
22 |
+
"21": "kite",
|
23 |
+
"22": "bald eagle, American eagle, Haliaeetus leucocephalus",
|
24 |
+
"23": "vulture",
|
25 |
+
"24": "great grey owl, great gray owl, Strix nebulosa",
|
26 |
+
"25": "European fire salamander, Salamandra salamandra",
|
27 |
+
"26": "common newt, Triturus vulgaris",
|
28 |
+
"27": "eft",
|
29 |
+
"28": "spotted salamander, Ambystoma maculatum",
|
30 |
+
"29": "axolotl, mud puppy, Ambystoma mexicanum",
|
31 |
+
"30": "bullfrog, Rana catesbeiana",
|
32 |
+
"31": "tree frog, tree-frog",
|
33 |
+
"32": "tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui",
|
34 |
+
"33": "loggerhead, loggerhead turtle, Caretta caretta",
|
35 |
+
"34": "leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea",
|
36 |
+
"35": "mud turtle",
|
37 |
+
"36": "terrapin",
|
38 |
+
"37": "box turtle, box tortoise",
|
39 |
+
"38": "banded gecko",
|
40 |
+
"39": "common iguana, iguana, Iguana iguana",
|
41 |
+
"40": "American chameleon, anole, Anolis carolinensis",
|
42 |
+
"41": "whiptail, whiptail lizard",
|
43 |
+
"42": "agama",
|
44 |
+
"43": "frilled lizard, Chlamydosaurus kingi",
|
45 |
+
"44": "alligator lizard",
|
46 |
+
"45": "Gila monster, Heloderma suspectum",
|
47 |
+
"46": "green lizard, Lacerta viridis",
|
48 |
+
"47": "African chameleon, Chamaeleo chamaeleon",
|
49 |
+
"48": "Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis",
|
50 |
+
"49": "African crocodile, Nile crocodile, Crocodylus niloticus",
|
51 |
+
"50": "American alligator, Alligator mississipiensis",
|
52 |
+
"51": "triceratops",
|
53 |
+
"52": "thunder snake, worm snake, Carphophis amoenus",
|
54 |
+
"53": "ringneck snake, ring-necked snake, ring snake",
|
55 |
+
"54": "hognose snake, puff adder, sand viper",
|
56 |
+
"55": "green snake, grass snake",
|
57 |
+
"56": "king snake, kingsnake",
|
58 |
+
"57": "garter snake, grass snake",
|
59 |
+
"58": "water snake",
|
60 |
+
"59": "vine snake",
|
61 |
+
"60": "night snake, Hypsiglena torquata",
|
62 |
+
"61": "boa constrictor, Constrictor constrictor",
|
63 |
+
"62": "rock python, rock snake, Python sebae",
|
64 |
+
"63": "Indian cobra, Naja naja",
|
65 |
+
"64": "green mamba",
|
66 |
+
"65": "sea snake",
|
67 |
+
"66": "horned viper, cerastes, sand viper, horned asp, Cerastes cornutus",
|
68 |
+
"67": "diamondback, diamondback rattlesnake, Crotalus adamanteus",
|
69 |
+
"68": "sidewinder, horned rattlesnake, Crotalus cerastes",
|
70 |
+
"69": "trilobite",
|
71 |
+
"70": "harvestman, daddy longlegs, Phalangium opilio",
|
72 |
+
"71": "scorpion",
|
73 |
+
"72": "black and gold garden spider, Argiope aurantia",
|
74 |
+
"73": "barn spider, Araneus cavaticus",
|
75 |
+
"74": "garden spider, Aranea diademata",
|
76 |
+
"75": "black widow, Latrodectus mactans",
|
77 |
+
"76": "tarantula",
|
78 |
+
"77": "wolf spider, hunting spider",
|
79 |
+
"78": "tick",
|
80 |
+
"79": "centipede",
|
81 |
+
"80": "black grouse",
|
82 |
+
"81": "ptarmigan",
|
83 |
+
"82": "ruffed grouse, partridge, Bonasa umbellus",
|
84 |
+
"83": "prairie chicken, prairie grouse, prairie fowl",
|
85 |
+
"84": "peacock",
|
86 |
+
"85": "quail",
|
87 |
+
"86": "partridge",
|
88 |
+
"87": "African grey, African gray, Psittacus erithacus",
|
89 |
+
"88": "macaw",
|
90 |
+
"89": "sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita",
|
91 |
+
"90": "lorikeet",
|
92 |
+
"91": "coucal",
|
93 |
+
"92": "bee eater",
|
94 |
+
"93": "hornbill",
|
95 |
+
"94": "hummingbird",
|
96 |
+
"95": "jacamar",
|
97 |
+
"96": "toucan",
|
98 |
+
"97": "drake",
|
99 |
+
"98": "red-breasted merganser, Mergus serrator",
|
100 |
+
"99": "goose",
|
101 |
+
"100": "black swan, Cygnus atratus",
|
102 |
+
"101": "tusker",
|
103 |
+
"102": "echidna, spiny anteater, anteater",
|
104 |
+
"103": "platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus",
|
105 |
+
"104": "wallaby, brush kangaroo",
|
106 |
+
"105": "koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus",
|
107 |
+
"106": "wombat",
|
108 |
+
"107": "jellyfish",
|
109 |
+
"108": "sea anemone, anemone",
|
110 |
+
"109": "brain coral",
|
111 |
+
"110": "flatworm, platyhelminth",
|
112 |
+
"111": "nematode, nematode worm, roundworm",
|
113 |
+
"112": "conch",
|
114 |
+
"113": "snail",
|
115 |
+
"114": "slug",
|
116 |
+
"115": "sea slug, nudibranch",
|
117 |
+
"116": "chiton, coat-of-mail shell, sea cradle, polyplacophore",
|
118 |
+
"117": "chambered nautilus, pearly nautilus, nautilus",
|
119 |
+
"118": "Dungeness crab, Cancer magister",
|
120 |
+
"119": "rock crab, Cancer irroratus",
|
121 |
+
"120": "fiddler crab",
|
122 |
+
"121": "king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica",
|
123 |
+
"122": "American lobster, Northern lobster, Maine lobster, Homarus americanus",
|
124 |
+
"123": "spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish",
|
125 |
+
"124": "crayfish, crawfish, crawdad, crawdaddy",
|
126 |
+
"125": "hermit crab",
|
127 |
+
"126": "isopod",
|
128 |
+
"127": "white stork, Ciconia ciconia",
|
129 |
+
"128": "black stork, Ciconia nigra",
|
130 |
+
"129": "spoonbill",
|
131 |
+
"130": "flamingo",
|
132 |
+
"131": "little blue heron, Egretta caerulea",
|
133 |
+
"132": "American egret, great white heron, Egretta albus",
|
134 |
+
"133": "bittern",
|
135 |
+
"134": "crane",
|
136 |
+
"135": "limpkin, Aramus pictus",
|
137 |
+
"136": "European gallinule, Porphyrio porphyrio",
|
138 |
+
"137": "American coot, marsh hen, mud hen, water hen, Fulica americana",
|
139 |
+
"138": "bustard",
|
140 |
+
"139": "ruddy turnstone, Arenaria interpres",
|
141 |
+
"140": "red-backed sandpiper, dunlin, Erolia alpina",
|
142 |
+
"141": "redshank, Tringa totanus",
|
143 |
+
"142": "dowitcher",
|
144 |
+
"143": "oystercatcher, oyster catcher",
|
145 |
+
"144": "pelican",
|
146 |
+
"145": "king penguin, Aptenodytes patagonica",
|
147 |
+
"146": "albatross, mollymawk",
|
148 |
+
"147": "grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus",
|
149 |
+
"148": "killer whale, killer, orca, grampus, sea wolf, Orcinus orca",
|
150 |
+
"149": "dugong, Dugong dugon",
|
151 |
+
"150": "sea lion",
|
152 |
+
"151": "Chihuahua",
|
153 |
+
"152": "Japanese spaniel",
|
154 |
+
"153": "Maltese dog, Maltese terrier, Maltese",
|
155 |
+
"154": "Pekinese, Pekingese, Peke",
|
156 |
+
"155": "Shih-Tzu",
|
157 |
+
"156": "Blenheim spaniel",
|
158 |
+
"157": "papillon",
|
159 |
+
"158": "toy terrier",
|
160 |
+
"159": "Rhodesian ridgeback",
|
161 |
+
"160": "Afghan hound, Afghan",
|
162 |
+
"161": "basset, basset hound",
|
163 |
+
"162": "beagle",
|
164 |
+
"163": "bloodhound, sleuthhound",
|
165 |
+
"164": "bluetick",
|
166 |
+
"165": "black-and-tan coonhound",
|
167 |
+
"166": "Walker hound, Walker foxhound",
|
168 |
+
"167": "English foxhound",
|
169 |
+
"168": "redbone",
|
170 |
+
"169": "borzoi, Russian wolfhound",
|
171 |
+
"170": "Irish wolfhound",
|
172 |
+
"171": "Italian greyhound",
|
173 |
+
"172": "whippet",
|
174 |
+
"173": "Ibizan hound, Ibizan Podenco",
|
175 |
+
"174": "Norwegian elkhound, elkhound",
|
176 |
+
"175": "otterhound, otter hound",
|
177 |
+
"176": "Saluki, gazelle hound",
|
178 |
+
"177": "Scottish deerhound, deerhound",
|
179 |
+
"178": "Weimaraner",
|
180 |
+
"179": "Staffordshire bullterrier, Staffordshire bull terrier",
|
181 |
+
"180": "American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier",
|
182 |
+
"181": "Bedlington terrier",
|
183 |
+
"182": "Border terrier",
|
184 |
+
"183": "Kerry blue terrier",
|
185 |
+
"184": "Irish terrier",
|
186 |
+
"185": "Norfolk terrier",
|
187 |
+
"186": "Norwich terrier",
|
188 |
+
"187": "Yorkshire terrier",
|
189 |
+
"188": "wire-haired fox terrier",
|
190 |
+
"189": "Lakeland terrier",
|
191 |
+
"190": "Sealyham terrier, Sealyham",
|
192 |
+
"191": "Airedale, Airedale terrier",
|
193 |
+
"192": "cairn, cairn terrier",
|
194 |
+
"193": "Australian terrier",
|
195 |
+
"194": "Dandie Dinmont, Dandie Dinmont terrier",
|
196 |
+
"195": "Boston bull, Boston terrier",
|
197 |
+
"196": "miniature schnauzer",
|
198 |
+
"197": "giant schnauzer",
|
199 |
+
"198": "standard schnauzer",
|
200 |
+
"199": "Scotch terrier, Scottish terrier, Scottie",
|
201 |
+
"200": "Tibetan terrier, chrysanthemum dog",
|
202 |
+
"201": "silky terrier, Sydney silky",
|
203 |
+
"202": "soft-coated wheaten terrier",
|
204 |
+
"203": "West Highland white terrier",
|
205 |
+
"204": "Lhasa, Lhasa apso",
|
206 |
+
"205": "flat-coated retriever",
|
207 |
+
"206": "curly-coated retriever",
|
208 |
+
"207": "golden retriever",
|
209 |
+
"208": "Labrador retriever",
|
210 |
+
"209": "Chesapeake Bay retriever",
|
211 |
+
"210": "German short-haired pointer",
|
212 |
+
"211": "vizsla, Hungarian pointer",
|
213 |
+
"212": "English setter",
|
214 |
+
"213": "Irish setter, red setter",
|
215 |
+
"214": "Gordon setter",
|
216 |
+
"215": "Brittany spaniel",
|
217 |
+
"216": "clumber, clumber spaniel",
|
218 |
+
"217": "English springer, English springer spaniel",
|
219 |
+
"218": "Welsh springer spaniel",
|
220 |
+
"219": "cocker spaniel, English cocker spaniel, cocker",
|
221 |
+
"220": "Sussex spaniel",
|
222 |
+
"221": "Irish water spaniel",
|
223 |
+
"222": "kuvasz",
|
224 |
+
"223": "schipperke",
|
225 |
+
"224": "groenendael",
|
226 |
+
"225": "malinois",
|
227 |
+
"226": "briard",
|
228 |
+
"227": "kelpie",
|
229 |
+
"228": "komondor",
|
230 |
+
"229": "Old English sheepdog, bobtail",
|
231 |
+
"230": "Shetland sheepdog, Shetland sheep dog, Shetland",
|
232 |
+
"231": "collie",
|
233 |
+
"232": "Border collie",
|
234 |
+
"233": "Bouvier des Flandres, Bouviers des Flandres",
|
235 |
+
"234": "Rottweiler",
|
236 |
+
"235": "German shepherd, German shepherd dog, German police dog, alsatian",
|
237 |
+
"236": "Doberman, Doberman pinscher",
|
238 |
+
"237": "miniature pinscher",
|
239 |
+
"238": "Greater Swiss Mountain dog",
|
240 |
+
"239": "Bernese mountain dog",
|
241 |
+
"240": "Appenzeller",
|
242 |
+
"241": "EntleBucher",
|
243 |
+
"242": "boxer",
|
244 |
+
"243": "bull mastiff",
|
245 |
+
"244": "Tibetan mastiff",
|
246 |
+
"245": "French bulldog",
|
247 |
+
"246": "Great Dane",
|
248 |
+
"247": "Saint Bernard, St Bernard",
|
249 |
+
"248": "Eskimo dog, husky",
|
250 |
+
"249": "malamute, malemute, Alaskan malamute",
|
251 |
+
"250": "Siberian husky",
|
252 |
+
"251": "dalmatian, coach dog, carriage dog",
|
253 |
+
"252": "affenpinscher, monkey pinscher, monkey dog",
|
254 |
+
"253": "basenji",
|
255 |
+
"254": "pug, pug-dog",
|
256 |
+
"255": "Leonberg",
|
257 |
+
"256": "Newfoundland, Newfoundland dog",
|
258 |
+
"257": "Great Pyrenees",
|
259 |
+
"258": "Samoyed, Samoyede",
|
260 |
+
"259": "Pomeranian",
|
261 |
+
"260": "chow, chow chow",
|
262 |
+
"261": "keeshond",
|
263 |
+
"262": "Brabancon griffon",
|
264 |
+
"263": "Pembroke, Pembroke Welsh corgi",
|
265 |
+
"264": "Cardigan, Cardigan Welsh corgi",
|
266 |
+
"265": "toy poodle",
|
267 |
+
"266": "miniature poodle",
|
268 |
+
"267": "standard poodle",
|
269 |
+
"268": "Mexican hairless",
|
270 |
+
"269": "timber wolf, grey wolf, gray wolf, Canis lupus",
|
271 |
+
"270": "white wolf, Arctic wolf, Canis lupus tundrarum",
|
272 |
+
"271": "red wolf, maned wolf, Canis rufus, Canis niger",
|
273 |
+
"272": "coyote, prairie wolf, brush wolf, Canis latrans",
|
274 |
+
"273": "dingo, warrigal, warragal, Canis dingo",
|
275 |
+
"274": "dhole, Cuon alpinus",
|
276 |
+
"275": "African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus",
|
277 |
+
"276": "hyena, hyaena",
|
278 |
+
"277": "red fox, Vulpes vulpes",
|
279 |
+
"278": "kit fox, Vulpes macrotis",
|
280 |
+
"279": "Arctic fox, white fox, Alopex lagopus",
|
281 |
+
"280": "grey fox, gray fox, Urocyon cinereoargenteus",
|
282 |
+
"281": "tabby, tabby cat",
|
283 |
+
"282": "tiger cat",
|
284 |
+
"283": "Persian cat",
|
285 |
+
"284": "Siamese cat, Siamese",
|
286 |
+
"285": "Egyptian cat",
|
287 |
+
"286": "cougar, puma, catamount, mountain lion, painter, panther, Felis concolor",
|
288 |
+
"287": "lynx, catamount",
|
289 |
+
"288": "leopard, Panthera pardus",
|
290 |
+
"289": "snow leopard, ounce, Panthera uncia",
|
291 |
+
"290": "jaguar, panther, Panthera onca, Felis onca",
|
292 |
+
"291": "lion, king of beasts, Panthera leo",
|
293 |
+
"292": "tiger, Panthera tigris",
|
294 |
+
"293": "cheetah, chetah, Acinonyx jubatus",
|
295 |
+
"294": "brown bear, bruin, Ursus arctos",
|
296 |
+
"295": "American black bear, black bear, Ursus americanus, Euarctos americanus",
|
297 |
+
"296": "ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus",
|
298 |
+
"297": "sloth bear, Melursus ursinus, Ursus ursinus",
|
299 |
+
"298": "mongoose",
|
300 |
+
"299": "meerkat, mierkat",
|
301 |
+
"300": "tiger beetle",
|
302 |
+
"301": "ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle",
|
303 |
+
"302": "ground beetle, carabid beetle",
|
304 |
+
"303": "long-horned beetle, longicorn, longicorn beetle",
|
305 |
+
"304": "leaf beetle, chrysomelid",
|
306 |
+
"305": "dung beetle",
|
307 |
+
"306": "rhinoceros beetle",
|
308 |
+
"307": "weevil",
|
309 |
+
"308": "fly",
|
310 |
+
"309": "bee",
|
311 |
+
"310": "ant, emmet, pismire",
|
312 |
+
"311": "grasshopper, hopper",
|
313 |
+
"312": "cricket",
|
314 |
+
"313": "walking stick, walkingstick, stick insect",
|
315 |
+
"314": "cockroach, roach",
|
316 |
+
"315": "mantis, mantid",
|
317 |
+
"316": "cicada, cicala",
|
318 |
+
"317": "leafhopper",
|
319 |
+
"318": "lacewing, lacewing fly",
|
320 |
+
"319": "dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk",
|
321 |
+
"320": "damselfly",
|
322 |
+
"321": "admiral",
|
323 |
+
"322": "ringlet, ringlet butterfly",
|
324 |
+
"323": "monarch, monarch butterfly, milkweed butterfly, Danaus plexippus",
|
325 |
+
"324": "cabbage butterfly",
|
326 |
+
"325": "sulphur butterfly, sulfur butterfly",
|
327 |
+
"326": "lycaenid, lycaenid butterfly",
|
328 |
+
"327": "starfish, sea star",
|
329 |
+
"328": "sea urchin",
|
330 |
+
"329": "sea cucumber, holothurian",
|
331 |
+
"330": "wood rabbit, cottontail, cottontail rabbit",
|
332 |
+
"331": "hare",
|
333 |
+
"332": "Angora, Angora rabbit",
|
334 |
+
"333": "hamster",
|
335 |
+
"334": "porcupine, hedgehog",
|
336 |
+
"335": "fox squirrel, eastern fox squirrel, Sciurus niger",
|
337 |
+
"336": "marmot",
|
338 |
+
"337": "beaver",
|
339 |
+
"338": "guinea pig, Cavia cobaya",
|
340 |
+
"339": "sorrel",
|
341 |
+
"340": "zebra",
|
342 |
+
"341": "hog, pig, grunter, squealer, Sus scrofa",
|
343 |
+
"342": "wild boar, boar, Sus scrofa",
|
344 |
+
"343": "warthog",
|
345 |
+
"344": "hippopotamus, hippo, river horse, Hippopotamus amphibius",
|
346 |
+
"345": "ox",
|
347 |
+
"346": "water buffalo, water ox, Asiatic buffalo, Bubalus bubalis",
|
348 |
+
"347": "bison",
|
349 |
+
"348": "ram, tup",
|
350 |
+
"349": "bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis",
|
351 |
+
"350": "ibex, Capra ibex",
|
352 |
+
"351": "hartebeest",
|
353 |
+
"352": "impala, Aepyceros melampus",
|
354 |
+
"353": "gazelle",
|
355 |
+
"354": "Arabian camel, dromedary, Camelus dromedarius",
|
356 |
+
"355": "llama",
|
357 |
+
"356": "weasel",
|
358 |
+
"357": "mink",
|
359 |
+
"358": "polecat, fitch, foulmart, foumart, Mustela putorius",
|
360 |
+
"359": "black-footed ferret, ferret, Mustela nigripes",
|
361 |
+
"360": "otter",
|
362 |
+
"361": "skunk, polecat, wood pussy",
|
363 |
+
"362": "badger",
|
364 |
+
"363": "armadillo",
|
365 |
+
"364": "three-toed sloth, ai, Bradypus tridactylus",
|
366 |
+
"365": "orangutan, orang, orangutang, Pongo pygmaeus",
|
367 |
+
"366": "gorilla, Gorilla gorilla",
|
368 |
+
"367": "chimpanzee, chimp, Pan troglodytes",
|
369 |
+
"368": "gibbon, Hylobates lar",
|
370 |
+
"369": "siamang, Hylobates syndactylus, Symphalangus syndactylus",
|
371 |
+
"370": "guenon, guenon monkey",
|
372 |
+
"371": "patas, hussar monkey, Erythrocebus patas",
|
373 |
+
"372": "baboon",
|
374 |
+
"373": "macaque",
|
375 |
+
"374": "langur",
|
376 |
+
"375": "colobus, colobus monkey",
|
377 |
+
"376": "proboscis monkey, Nasalis larvatus",
|
378 |
+
"377": "marmoset",
|
379 |
+
"378": "capuchin, ringtail, Cebus capucinus",
|
380 |
+
"379": "howler monkey, howler",
|
381 |
+
"380": "titi, titi monkey",
|
382 |
+
"381": "spider monkey, Ateles geoffroyi",
|
383 |
+
"382": "squirrel monkey, Saimiri sciureus",
|
384 |
+
"383": "Madagascar cat, ring-tailed lemur, Lemur catta",
|
385 |
+
"384": "indri, indris, Indri indri, Indri brevicaudatus",
|
386 |
+
"385": "Indian elephant, Elephas maximus",
|
387 |
+
"386": "African elephant, Loxodonta africana",
|
388 |
+
"387": "lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens",
|
389 |
+
"388": "giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca",
|
390 |
+
"389": "barracouta, snoek",
|
391 |
+
"390": "eel",
|
392 |
+
"391": "coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch",
|
393 |
+
"392": "rock beauty, Holocanthus tricolor",
|
394 |
+
"393": "anemone fish",
|
395 |
+
"394": "sturgeon",
|
396 |
+
"395": "gar, garfish, garpike, billfish, Lepisosteus osseus",
|
397 |
+
"396": "lionfish",
|
398 |
+
"397": "puffer, pufferfish, blowfish, globefish",
|
399 |
+
"398": "abacus",
|
400 |
+
"399": "abaya",
|
401 |
+
"400": "academic gown, academic robe, judge's robe",
|
402 |
+
"401": "accordion, piano accordion, squeeze box",
|
403 |
+
"402": "acoustic guitar",
|
404 |
+
"403": "aircraft carrier, carrier, flattop, attack aircraft carrier",
|
405 |
+
"404": "airliner",
|
406 |
+
"405": "airship, dirigible",
|
407 |
+
"406": "altar",
|
408 |
+
"407": "ambulance",
|
409 |
+
"408": "amphibian, amphibious vehicle",
|
410 |
+
"409": "analog clock",
|
411 |
+
"410": "apiary, bee house",
|
412 |
+
"411": "apron",
|
413 |
+
"412": "ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin",
|
414 |
+
"413": "assault rifle, assault gun",
|
415 |
+
"414": "backpack, back pack, knapsack, packsack, rucksack, haversack",
|
416 |
+
"415": "bakery, bakeshop, bakehouse",
|
417 |
+
"416": "balance beam, beam",
|
418 |
+
"417": "balloon",
|
419 |
+
"418": "ballpoint, ballpoint pen, ballpen, Biro",
|
420 |
+
"419": "Band Aid",
|
421 |
+
"420": "banjo",
|
422 |
+
"421": "bannister, banister, balustrade, balusters, handrail",
|
423 |
+
"422": "barbell",
|
424 |
+
"423": "barber chair",
|
425 |
+
"424": "barbershop",
|
426 |
+
"425": "barn",
|
427 |
+
"426": "barometer",
|
428 |
+
"427": "barrel, cask",
|
429 |
+
"428": "barrow, garden cart, lawn cart, wheelbarrow",
|
430 |
+
"429": "baseball",
|
431 |
+
"430": "basketball",
|
432 |
+
"431": "bassinet",
|
433 |
+
"432": "bassoon",
|
434 |
+
"433": "bathing cap, swimming cap",
|
435 |
+
"434": "bath towel",
|
436 |
+
"435": "bathtub, bathing tub, bath, tub",
|
437 |
+
"436": "beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon",
|
438 |
+
"437": "beacon, lighthouse, beacon light, pharos",
|
439 |
+
"438": "beaker",
|
440 |
+
"439": "bearskin, busby, shako",
|
441 |
+
"440": "beer bottle",
|
442 |
+
"441": "beer glass",
|
443 |
+
"442": "bell cote, bell cot",
|
444 |
+
"443": "bib",
|
445 |
+
"444": "bicycle-built-for-two, tandem bicycle, tandem",
|
446 |
+
"445": "bikini, two-piece",
|
447 |
+
"446": "binder, ring-binder",
|
448 |
+
"447": "binoculars, field glasses, opera glasses",
|
449 |
+
"448": "birdhouse",
|
450 |
+
"449": "boathouse",
|
451 |
+
"450": "bobsled, bobsleigh, bob",
|
452 |
+
"451": "bolo tie, bolo, bola tie, bola",
|
453 |
+
"452": "bonnet, poke bonnet",
|
454 |
+
"453": "bookcase",
|
455 |
+
"454": "bookshop, bookstore, bookstall",
|
456 |
+
"455": "bottlecap",
|
457 |
+
"456": "bow",
|
458 |
+
"457": "bow tie, bow-tie, bowtie",
|
459 |
+
"458": "brass, memorial tablet, plaque",
|
460 |
+
"459": "brassiere, bra, bandeau",
|
461 |
+
"460": "breakwater, groin, groyne, mole, bulwark, seawall, jetty",
|
462 |
+
"461": "breastplate, aegis, egis",
|
463 |
+
"462": "broom",
|
464 |
+
"463": "bucket, pail",
|
465 |
+
"464": "buckle",
|
466 |
+
"465": "bulletproof vest",
|
467 |
+
"466": "bullet train, bullet",
|
468 |
+
"467": "butcher shop, meat market",
|
469 |
+
"468": "cab, hack, taxi, taxicab",
|
470 |
+
"469": "caldron, cauldron",
|
471 |
+
"470": "candle, taper, wax light",
|
472 |
+
"471": "cannon",
|
473 |
+
"472": "canoe",
|
474 |
+
"473": "can opener, tin opener",
|
475 |
+
"474": "cardigan",
|
476 |
+
"475": "car mirror",
|
477 |
+
"476": "carousel, carrousel, merry-go-round, roundabout, whirligig",
|
478 |
+
"477": "carpenter's kit, tool kit",
|
479 |
+
"478": "carton",
|
480 |
+
"479": "car wheel",
|
481 |
+
"480": "cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM",
|
482 |
+
"481": "cassette",
|
483 |
+
"482": "cassette player",
|
484 |
+
"483": "castle",
|
485 |
+
"484": "catamaran",
|
486 |
+
"485": "CD player",
|
487 |
+
"486": "cello, violoncello",
|
488 |
+
"487": "cellular telephone, cellular phone, cellphone, cell, mobile phone",
|
489 |
+
"488": "chain",
|
490 |
+
"489": "chainlink fence",
|
491 |
+
"490": "chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour",
|
492 |
+
"491": "chain saw, chainsaw",
|
493 |
+
"492": "chest",
|
494 |
+
"493": "chiffonier, commode",
|
495 |
+
"494": "chime, bell, gong",
|
496 |
+
"495": "china cabinet, china closet",
|
497 |
+
"496": "Christmas stocking",
|
498 |
+
"497": "church, church building",
|
499 |
+
"498": "cinema, movie theater, movie theatre, movie house, picture palace",
|
500 |
+
"499": "cleaver, meat cleaver, chopper",
|
501 |
+
"500": "cliff dwelling",
|
502 |
+
"501": "cloak",
|
503 |
+
"502": "clog, geta, patten, sabot",
|
504 |
+
"503": "cocktail shaker",
|
505 |
+
"504": "coffee mug",
|
506 |
+
"505": "coffeepot",
|
507 |
+
"506": "coil, spiral, volute, whorl, helix",
|
508 |
+
"507": "combination lock",
|
509 |
+
"508": "computer keyboard, keypad",
|
510 |
+
"509": "confectionery, confectionary, candy store",
|
511 |
+
"510": "container ship, containership, container vessel",
|
512 |
+
"511": "convertible",
|
513 |
+
"512": "corkscrew, bottle screw",
|
514 |
+
"513": "cornet, horn, trumpet, trump",
|
515 |
+
"514": "cowboy boot",
|
516 |
+
"515": "cowboy hat, ten-gallon hat",
|
517 |
+
"516": "cradle",
|
518 |
+
"517": "crane",
|
519 |
+
"518": "crash helmet",
|
520 |
+
"519": "crate",
|
521 |
+
"520": "crib, cot",
|
522 |
+
"521": "Crock Pot",
|
523 |
+
"522": "croquet ball",
|
524 |
+
"523": "crutch",
|
525 |
+
"524": "cuirass",
|
526 |
+
"525": "dam, dike, dyke",
|
527 |
+
"526": "desk",
|
528 |
+
"527": "desktop computer",
|
529 |
+
"528": "dial telephone, dial phone",
|
530 |
+
"529": "diaper, nappy, napkin",
|
531 |
+
"530": "digital clock",
|
532 |
+
"531": "digital watch",
|
533 |
+
"532": "dining table, board",
|
534 |
+
"533": "dishrag, dishcloth",
|
535 |
+
"534": "dishwasher, dish washer, dishwashing machine",
|
536 |
+
"535": "disk brake, disc brake",
|
537 |
+
"536": "dock, dockage, docking facility",
|
538 |
+
"537": "dogsled, dog sled, dog sleigh",
|
539 |
+
"538": "dome",
|
540 |
+
"539": "doormat, welcome mat",
|
541 |
+
"540": "drilling platform, offshore rig",
|
542 |
+
"541": "drum, membranophone, tympan",
|
543 |
+
"542": "drumstick",
|
544 |
+
"543": "dumbbell",
|
545 |
+
"544": "Dutch oven",
|
546 |
+
"545": "electric fan, blower",
|
547 |
+
"546": "electric guitar",
|
548 |
+
"547": "electric locomotive",
|
549 |
+
"548": "entertainment center",
|
550 |
+
"549": "envelope",
|
551 |
+
"550": "espresso maker",
|
552 |
+
"551": "face powder",
|
553 |
+
"552": "feather boa, boa",
|
554 |
+
"553": "file, file cabinet, filing cabinet",
|
555 |
+
"554": "fireboat",
|
556 |
+
"555": "fire engine, fire truck",
|
557 |
+
"556": "fire screen, fireguard",
|
558 |
+
"557": "flagpole, flagstaff",
|
559 |
+
"558": "flute, transverse flute",
|
560 |
+
"559": "folding chair",
|
561 |
+
"560": "football helmet",
|
562 |
+
"561": "forklift",
|
563 |
+
"562": "fountain",
|
564 |
+
"563": "fountain pen",
|
565 |
+
"564": "four-poster",
|
566 |
+
"565": "freight car",
|
567 |
+
"566": "French horn, horn",
|
568 |
+
"567": "frying pan, frypan, skillet",
|
569 |
+
"568": "fur coat",
|
570 |
+
"569": "garbage truck, dustcart",
|
571 |
+
"570": "gasmask, respirator, gas helmet",
|
572 |
+
"571": "gas pump, gasoline pump, petrol pump, island dispenser",
|
573 |
+
"572": "goblet",
|
574 |
+
"573": "go-kart",
|
575 |
+
"574": "golf ball",
|
576 |
+
"575": "golfcart, golf cart",
|
577 |
+
"576": "gondola",
|
578 |
+
"577": "gong, tam-tam",
|
579 |
+
"578": "gown",
|
580 |
+
"579": "grand piano, grand",
|
581 |
+
"580": "greenhouse, nursery, glasshouse",
|
582 |
+
"581": "grille, radiator grille",
|
583 |
+
"582": "grocery store, grocery, food market, market",
|
584 |
+
"583": "guillotine",
|
585 |
+
"584": "hair slide",
|
586 |
+
"585": "hair spray",
|
587 |
+
"586": "half track",
|
588 |
+
"587": "hammer",
|
589 |
+
"588": "hamper",
|
590 |
+
"589": "hand blower, blow dryer, blow drier, hair dryer, hair drier",
|
591 |
+
"590": "hand-held computer, hand-held microcomputer",
|
592 |
+
"591": "handkerchief, hankie, hanky, hankey",
|
593 |
+
"592": "hard disc, hard disk, fixed disk",
|
594 |
+
"593": "harmonica, mouth organ, harp, mouth harp",
|
595 |
+
"594": "harp",
|
596 |
+
"595": "harvester, reaper",
|
597 |
+
"596": "hatchet",
|
598 |
+
"597": "holster",
|
599 |
+
"598": "home theater, home theatre",
|
600 |
+
"599": "honeycomb",
|
601 |
+
"600": "hook, claw",
|
602 |
+
"601": "hoopskirt, crinoline",
|
603 |
+
"602": "horizontal bar, high bar",
|
604 |
+
"603": "horse cart, horse-cart",
|
605 |
+
"604": "hourglass",
|
606 |
+
"605": "iPod",
|
607 |
+
"606": "iron, smoothing iron",
|
608 |
+
"607": "jack-o'-lantern",
|
609 |
+
"608": "jean, blue jean, denim",
|
610 |
+
"609": "jeep, landrover",
|
611 |
+
"610": "jersey, T-shirt, tee shirt",
|
612 |
+
"611": "jigsaw puzzle",
|
613 |
+
"612": "jinrikisha, ricksha, rickshaw",
|
614 |
+
"613": "joystick",
|
615 |
+
"614": "kimono",
|
616 |
+
"615": "knee pad",
|
617 |
+
"616": "knot",
|
618 |
+
"617": "lab coat, laboratory coat",
|
619 |
+
"618": "ladle",
|
620 |
+
"619": "lampshade, lamp shade",
|
621 |
+
"620": "laptop, laptop computer",
|
622 |
+
"621": "lawn mower, mower",
|
623 |
+
"622": "lens cap, lens cover",
|
624 |
+
"623": "letter opener, paper knife, paperknife",
|
625 |
+
"624": "library",
|
626 |
+
"625": "lifeboat",
|
627 |
+
"626": "lighter, light, igniter, ignitor",
|
628 |
+
"627": "limousine, limo",
|
629 |
+
"628": "liner, ocean liner",
|
630 |
+
"629": "lipstick, lip rouge",
|
631 |
+
"630": "Loafer",
|
632 |
+
"631": "lotion",
|
633 |
+
"632": "loudspeaker, speaker, speaker unit, loudspeaker system, speaker system",
|
634 |
+
"633": "loupe, jeweler's loupe",
|
635 |
+
"634": "lumbermill, sawmill",
|
636 |
+
"635": "magnetic compass",
|
637 |
+
"636": "mailbag, postbag",
|
638 |
+
"637": "mailbox, letter box",
|
639 |
+
"638": "maillot",
|
640 |
+
"639": "maillot, tank suit",
|
641 |
+
"640": "manhole cover",
|
642 |
+
"641": "maraca",
|
643 |
+
"642": "marimba, xylophone",
|
644 |
+
"643": "mask",
|
645 |
+
"644": "matchstick",
|
646 |
+
"645": "maypole",
|
647 |
+
"646": "maze, labyrinth",
|
648 |
+
"647": "measuring cup",
|
649 |
+
"648": "medicine chest, medicine cabinet",
|
650 |
+
"649": "megalith, megalithic structure",
|
651 |
+
"650": "microphone, mike",
|
652 |
+
"651": "microwave, microwave oven",
|
653 |
+
"652": "military uniform",
|
654 |
+
"653": "milk can",
|
655 |
+
"654": "minibus",
|
656 |
+
"655": "miniskirt, mini",
|
657 |
+
"656": "minivan",
|
658 |
+
"657": "missile",
|
659 |
+
"658": "mitten",
|
660 |
+
"659": "mixing bowl",
|
661 |
+
"660": "mobile home, manufactured home",
|
662 |
+
"661": "Model T",
|
663 |
+
"662": "modem",
|
664 |
+
"663": "monastery",
|
665 |
+
"664": "monitor",
|
666 |
+
"665": "moped",
|
667 |
+
"666": "mortar",
|
668 |
+
"667": "mortarboard",
|
669 |
+
"668": "mosque",
|
670 |
+
"669": "mosquito net",
|
671 |
+
"670": "motor scooter, scooter",
|
672 |
+
"671": "mountain bike, all-terrain bike, off-roader",
|
673 |
+
"672": "mountain tent",
|
674 |
+
"673": "mouse, computer mouse",
|
675 |
+
"674": "mousetrap",
|
676 |
+
"675": "moving van",
|
677 |
+
"676": "muzzle",
|
678 |
+
"677": "nail",
|
679 |
+
"678": "neck brace",
|
680 |
+
"679": "necklace",
|
681 |
+
"680": "nipple",
|
682 |
+
"681": "notebook, notebook computer",
|
683 |
+
"682": "obelisk",
|
684 |
+
"683": "oboe, hautboy, hautbois",
|
685 |
+
"684": "ocarina, sweet potato",
|
686 |
+
"685": "odometer, hodometer, mileometer, milometer",
|
687 |
+
"686": "oil filter",
|
688 |
+
"687": "organ, pipe organ",
|
689 |
+
"688": "oscilloscope, scope, cathode-ray oscilloscope, CRO",
|
690 |
+
"689": "overskirt",
|
691 |
+
"690": "oxcart",
|
692 |
+
"691": "oxygen mask",
|
693 |
+
"692": "packet",
|
694 |
+
"693": "paddle, boat paddle",
|
695 |
+
"694": "paddlewheel, paddle wheel",
|
696 |
+
"695": "padlock",
|
697 |
+
"696": "paintbrush",
|
698 |
+
"697": "pajama, pyjama, pj's, jammies",
|
699 |
+
"698": "palace",
|
700 |
+
"699": "panpipe, pandean pipe, syrinx",
|
701 |
+
"700": "paper towel",
|
702 |
+
"701": "parachute, chute",
|
703 |
+
"702": "parallel bars, bars",
|
704 |
+
"703": "park bench",
|
705 |
+
"704": "parking meter",
|
706 |
+
"705": "passenger car, coach, carriage",
|
707 |
+
"706": "patio, terrace",
|
708 |
+
"707": "pay-phone, pay-station",
|
709 |
+
"708": "pedestal, plinth, footstall",
|
710 |
+
"709": "pencil box, pencil case",
|
711 |
+
"710": "pencil sharpener",
|
712 |
+
"711": "perfume, essence",
|
713 |
+
"712": "Petri dish",
|
714 |
+
"713": "photocopier",
|
715 |
+
"714": "pick, plectrum, plectron",
|
716 |
+
"715": "pickelhaube",
|
717 |
+
"716": "picket fence, paling",
|
718 |
+
"717": "pickup, pickup truck",
|
719 |
+
"718": "pier",
|
720 |
+
"719": "piggy bank, penny bank",
|
721 |
+
"720": "pill bottle",
|
722 |
+
"721": "pillow",
|
723 |
+
"722": "ping-pong ball",
|
724 |
+
"723": "pinwheel",
|
725 |
+
"724": "pirate, pirate ship",
|
726 |
+
"725": "pitcher, ewer",
|
727 |
+
"726": "plane, carpenter's plane, woodworking plane",
|
728 |
+
"727": "planetarium",
|
729 |
+
"728": "plastic bag",
|
730 |
+
"729": "plate rack",
|
731 |
+
"730": "plow, plough",
|
732 |
+
"731": "plunger, plumber's helper",
|
733 |
+
"732": "Polaroid camera, Polaroid Land camera",
|
734 |
+
"733": "pole",
|
735 |
+
"734": "police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria",
|
736 |
+
"735": "poncho",
|
737 |
+
"736": "pool table, billiard table, snooker table",
|
738 |
+
"737": "pop bottle, soda bottle",
|
739 |
+
"738": "pot, flowerpot",
|
740 |
+
"739": "potter's wheel",
|
741 |
+
"740": "power drill",
|
742 |
+
"741": "prayer rug, prayer mat",
|
743 |
+
"742": "printer",
|
744 |
+
"743": "prison, prison house",
|
745 |
+
"744": "projectile, missile",
|
746 |
+
"745": "projector",
|
747 |
+
"746": "puck, hockey puck",
|
748 |
+
"747": "punching bag, punch bag, punching ball, punchball",
|
749 |
+
"748": "purse",
|
750 |
+
"749": "quill, quill pen",
|
751 |
+
"750": "quilt, comforter, comfort, puff",
|
752 |
+
"751": "racer, race car, racing car",
|
753 |
+
"752": "racket, racquet",
|
754 |
+
"753": "radiator",
|
755 |
+
"754": "radio, wireless",
|
756 |
+
"755": "radio telescope, radio reflector",
|
757 |
+
"756": "rain barrel",
|
758 |
+
"757": "recreational vehicle, RV, R.V.",
|
759 |
+
"758": "reel",
|
760 |
+
"759": "reflex camera",
|
761 |
+
"760": "refrigerator, icebox",
|
762 |
+
"761": "remote control, remote",
|
763 |
+
"762": "restaurant, eating house, eating place, eatery",
|
764 |
+
"763": "revolver, six-gun, six-shooter",
|
765 |
+
"764": "rifle",
|
766 |
+
"765": "rocking chair, rocker",
|
767 |
+
"766": "rotisserie",
|
768 |
+
"767": "rubber eraser, rubber, pencil eraser",
|
769 |
+
"768": "rugby ball",
|
770 |
+
"769": "rule, ruler",
|
771 |
+
"770": "running shoe",
|
772 |
+
"771": "safe",
|
773 |
+
"772": "safety pin",
|
774 |
+
"773": "saltshaker, salt shaker",
|
775 |
+
"774": "sandal",
|
776 |
+
"775": "sarong",
|
777 |
+
"776": "sax, saxophone",
|
778 |
+
"777": "scabbard",
|
779 |
+
"778": "scale, weighing machine",
|
780 |
+
"779": "school bus",
|
781 |
+
"780": "schooner",
|
782 |
+
"781": "scoreboard",
|
783 |
+
"782": "screen, CRT screen",
|
784 |
+
"783": "screw",
|
785 |
+
"784": "screwdriver",
|
786 |
+
"785": "seat belt, seatbelt",
|
787 |
+
"786": "sewing machine",
|
788 |
+
"787": "shield, buckler",
|
789 |
+
"788": "shoe shop, shoe-shop, shoe store",
|
790 |
+
"789": "shoji",
|
791 |
+
"790": "shopping basket",
|
792 |
+
"791": "shopping cart",
|
793 |
+
"792": "shovel",
|
794 |
+
"793": "shower cap",
|
795 |
+
"794": "shower curtain",
|
796 |
+
"795": "ski",
|
797 |
+
"796": "ski mask",
|
798 |
+
"797": "sleeping bag",
|
799 |
+
"798": "slide rule, slipstick",
|
800 |
+
"799": "sliding door",
|
801 |
+
"800": "slot, one-armed bandit",
|
802 |
+
"801": "snorkel",
|
803 |
+
"802": "snowmobile",
|
804 |
+
"803": "snowplow, snowplough",
|
805 |
+
"804": "soap dispenser",
|
806 |
+
"805": "soccer ball",
|
807 |
+
"806": "sock",
|
808 |
+
"807": "solar dish, solar collector, solar furnace",
|
809 |
+
"808": "sombrero",
|
810 |
+
"809": "soup bowl",
|
811 |
+
"810": "space bar",
|
812 |
+
"811": "space heater",
|
813 |
+
"812": "space shuttle",
|
814 |
+
"813": "spatula",
|
815 |
+
"814": "speedboat",
|
816 |
+
"815": "spider web, spider's web",
|
817 |
+
"816": "spindle",
|
818 |
+
"817": "sports car, sport car",
|
819 |
+
"818": "spotlight, spot",
|
820 |
+
"819": "stage",
|
821 |
+
"820": "steam locomotive",
|
822 |
+
"821": "steel arch bridge",
|
823 |
+
"822": "steel drum",
|
824 |
+
"823": "stethoscope",
|
825 |
+
"824": "stole",
|
826 |
+
"825": "stone wall",
|
827 |
+
"826": "stopwatch, stop watch",
|
828 |
+
"827": "stove",
|
829 |
+
"828": "strainer",
|
830 |
+
"829": "streetcar, tram, tramcar, trolley, trolley car",
|
831 |
+
"830": "stretcher",
|
832 |
+
"831": "studio couch, day bed",
|
833 |
+
"832": "stupa, tope",
|
834 |
+
"833": "submarine, pigboat, sub, U-boat",
|
835 |
+
"834": "suit, suit of clothes",
|
836 |
+
"835": "sundial",
|
837 |
+
"836": "sunglass",
|
838 |
+
"837": "sunglasses, dark glasses, shades",
|
839 |
+
"838": "sunscreen, sunblock, sun blocker",
|
840 |
+
"839": "suspension bridge",
|
841 |
+
"840": "swab, swob, mop",
|
842 |
+
"841": "sweatshirt",
|
843 |
+
"842": "swimming trunks, bathing trunks",
|
844 |
+
"843": "swing",
|
845 |
+
"844": "switch, electric switch, electrical switch",
|
846 |
+
"845": "syringe",
|
847 |
+
"846": "table lamp",
|
848 |
+
"847": "tank, army tank, armored combat vehicle, armoured combat vehicle",
|
849 |
+
"848": "tape player",
|
850 |
+
"849": "teapot",
|
851 |
+
"850": "teddy, teddy bear",
|
852 |
+
"851": "television, television system",
|
853 |
+
"852": "tennis ball",
|
854 |
+
"853": "thatch, thatched roof",
|
855 |
+
"854": "theater curtain, theatre curtain",
|
856 |
+
"855": "thimble",
|
857 |
+
"856": "thresher, thrasher, threshing machine",
|
858 |
+
"857": "throne",
|
859 |
+
"858": "tile roof",
|
860 |
+
"859": "toaster",
|
861 |
+
"860": "tobacco shop, tobacconist shop, tobacconist",
|
862 |
+
"861": "toilet seat",
|
863 |
+
"862": "torch",
|
864 |
+
"863": "totem pole",
|
865 |
+
"864": "tow truck, tow car, wrecker",
|
866 |
+
"865": "toyshop",
|
867 |
+
"866": "tractor",
|
868 |
+
"867": "trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi",
|
869 |
+
"868": "tray",
|
870 |
+
"869": "trench coat",
|
871 |
+
"870": "tricycle, trike, velocipede",
|
872 |
+
"871": "trimaran",
|
873 |
+
"872": "tripod",
|
874 |
+
"873": "triumphal arch",
|
875 |
+
"874": "trolleybus, trolley coach, trackless trolley",
|
876 |
+
"875": "trombone",
|
877 |
+
"876": "tub, vat",
|
878 |
+
"877": "turnstile",
|
879 |
+
"878": "typewriter keyboard",
|
880 |
+
"879": "umbrella",
|
881 |
+
"880": "unicycle, monocycle",
|
882 |
+
"881": "upright, upright piano",
|
883 |
+
"882": "vacuum, vacuum cleaner",
|
884 |
+
"883": "vase",
|
885 |
+
"884": "vault",
|
886 |
+
"885": "velvet",
|
887 |
+
"886": "vending machine",
|
888 |
+
"887": "vestment",
|
889 |
+
"888": "viaduct",
|
890 |
+
"889": "violin, fiddle",
|
891 |
+
"890": "volleyball",
|
892 |
+
"891": "waffle iron",
|
893 |
+
"892": "wall clock",
|
894 |
+
"893": "wallet, billfold, notecase, pocketbook",
|
895 |
+
"894": "wardrobe, closet, press",
|
896 |
+
"895": "warplane, military plane",
|
897 |
+
"896": "washbasin, handbasin, washbowl, lavabo, wash-hand basin",
|
898 |
+
"897": "washer, automatic washer, washing machine",
|
899 |
+
"898": "water bottle",
|
900 |
+
"899": "water jug",
|
901 |
+
"900": "water tower",
|
902 |
+
"901": "whiskey jug",
|
903 |
+
"902": "whistle",
|
904 |
+
"903": "wig",
|
905 |
+
"904": "window screen",
|
906 |
+
"905": "window shade",
|
907 |
+
"906": "Windsor tie",
|
908 |
+
"907": "wine bottle",
|
909 |
+
"908": "wing",
|
910 |
+
"909": "wok",
|
911 |
+
"910": "wooden spoon",
|
912 |
+
"911": "wool, woolen, woollen",
|
913 |
+
"912": "worm fence, snake fence, snake-rail fence, Virginia fence",
|
914 |
+
"913": "wreck",
|
915 |
+
"914": "yawl",
|
916 |
+
"915": "yurt",
|
917 |
+
"916": "web site, website, internet site, site",
|
918 |
+
"917": "comic book",
|
919 |
+
"918": "crossword puzzle, crossword",
|
920 |
+
"919": "street sign",
|
921 |
+
"920": "traffic light, traffic signal, stoplight",
|
922 |
+
"921": "book jacket, dust cover, dust jacket, dust wrapper",
|
923 |
+
"922": "menu",
|
924 |
+
"923": "plate",
|
925 |
+
"924": "guacamole",
|
926 |
+
"925": "consomme",
|
927 |
+
"926": "hot pot, hotpot",
|
928 |
+
"927": "trifle",
|
929 |
+
"928": "ice cream, icecream",
|
930 |
+
"929": "ice lolly, lolly, lollipop, popsicle",
|
931 |
+
"930": "French loaf",
|
932 |
+
"931": "bagel, beigel",
|
933 |
+
"932": "pretzel",
|
934 |
+
"933": "cheeseburger",
|
935 |
+
"934": "hotdog, hot dog, red hot",
|
936 |
+
"935": "mashed potato",
|
937 |
+
"936": "head cabbage",
|
938 |
+
"937": "broccoli",
|
939 |
+
"938": "cauliflower",
|
940 |
+
"939": "zucchini, courgette",
|
941 |
+
"940": "spaghetti squash",
|
942 |
+
"941": "acorn squash",
|
943 |
+
"942": "butternut squash",
|
944 |
+
"943": "cucumber, cuke",
|
945 |
+
"944": "artichoke, globe artichoke",
|
946 |
+
"945": "bell pepper",
|
947 |
+
"946": "cardoon",
|
948 |
+
"947": "mushroom",
|
949 |
+
"948": "Granny Smith",
|
950 |
+
"949": "strawberry",
|
951 |
+
"950": "orange",
|
952 |
+
"951": "lemon",
|
953 |
+
"952": "fig",
|
954 |
+
"953": "pineapple, ananas",
|
955 |
+
"954": "banana",
|
956 |
+
"955": "jackfruit, jak, jack",
|
957 |
+
"956": "custard apple",
|
958 |
+
"957": "pomegranate",
|
959 |
+
"958": "hay",
|
960 |
+
"959": "carbonara",
|
961 |
+
"960": "chocolate sauce, chocolate syrup",
|
962 |
+
"961": "dough",
|
963 |
+
"962": "meat loaf, meatloaf",
|
964 |
+
"963": "pizza, pizza pie",
|
965 |
+
"964": "potpie",
|
966 |
+
"965": "burrito",
|
967 |
+
"966": "red wine",
|
968 |
+
"967": "espresso",
|
969 |
+
"968": "cup",
|
970 |
+
"969": "eggnog",
|
971 |
+
"970": "alp",
|
972 |
+
"971": "bubble",
|
973 |
+
"972": "cliff, drop, drop-off",
|
974 |
+
"973": "coral reef",
|
975 |
+
"974": "geyser",
|
976 |
+
"975": "lakeside, lakeshore",
|
977 |
+
"976": "promontory, headland, head, foreland",
|
978 |
+
"977": "sandbar, sand bar",
|
979 |
+
"978": "seashore, coast, seacoast, sea-coast",
|
980 |
+
"979": "valley, vale",
|
981 |
+
"980": "volcano",
|
982 |
+
"981": "ballplayer, baseball player",
|
983 |
+
"982": "groom, bridegroom",
|
984 |
+
"983": "scuba diver",
|
985 |
+
"984": "rapeseed",
|
986 |
+
"985": "daisy",
|
987 |
+
"986": "yellow lady's slipper, yellow lady-slipper, Cypripedium calceolus, Cypripedium parviflorum",
|
988 |
+
"987": "corn",
|
989 |
+
"988": "acorn",
|
990 |
+
"989": "hip, rose hip, rosehip",
|
991 |
+
"990": "buckeye, horse chestnut, conker",
|
992 |
+
"991": "coral fungus",
|
993 |
+
"992": "agaric",
|
994 |
+
"993": "gyromitra",
|
995 |
+
"994": "stinkhorn, carrion fungus",
|
996 |
+
"995": "earthstar",
|
997 |
+
"996": "hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa",
|
998 |
+
"997": "bolete",
|
999 |
+
"998": "ear, spike, capitulum",
|
1000 |
+
"999": "toilet tissue, toilet paper, bathroom tissue"}
|