FGVC-Aircraft / README.md
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metadata
dataset_info:
  features:
    - name: image
      dtype: image
    - name: bbox
      struct:
        - name: ymin
          dtype: int64
        - name: xmin
          dtype: int64
        - name: ymax
          dtype: int64
        - name: xmax
          dtype: int64
    - name: family
      dtype:
        class_label:
          names:
            '0': A300
            '1': A310
            '2': A320
            '3': A330
            '4': A340
            '5': A380
            '6': ATR-42
            '7': ATR-72
            '8': An-12
            '9': BAE 146
            '10': BAE-125
            '11': Beechcraft 1900
            '12': Boeing 707
            '13': Boeing 717
            '14': Boeing 727
            '15': Boeing 737
            '16': Boeing 747
            '17': Boeing 757
            '18': Boeing 767
            '19': Boeing 777
            '20': C-130
            '21': C-47
            '22': CRJ-200
            '23': CRJ-700
            '24': Cessna 172
            '25': Cessna 208
            '26': Cessna Citation
            '27': Challenger 600
            '28': DC-10
            '29': DC-3
            '30': DC-6
            '31': DC-8
            '32': DC-9
            '33': DH-82
            '34': DHC-1
            '35': DHC-6
            '36': DR-400
            '37': Dash 8
            '38': Dornier 328
            '39': EMB-120
            '40': Embraer E-Jet
            '41': Embraer ERJ 145
            '42': Embraer Legacy 600
            '43': Eurofighter Typhoon
            '44': F-16
            '45': F/A-18
            '46': Falcon 2000
            '47': Falcon 900
            '48': Fokker 100
            '49': Fokker 50
            '50': Fokker 70
            '51': Global Express
            '52': Gulfstream
            '53': Hawk T1
            '54': Il-76
            '55': King Air
            '56': L-1011
            '57': MD-11
            '58': MD-80
            '59': MD-90
            '60': Metroliner
            '61': PA-28
            '62': SR-20
            '63': Saab 2000
            '64': Saab 340
            '65': Spitfire
            '66': Tornado
            '67': Tu-134
            '68': Tu-154
            '69': Yak-42
    - name: manufacturer
      dtype:
        class_label:
          names:
            '0': ATR
            '1': Airbus
            '2': Antonov
            '3': Beechcraft
            '4': Boeing
            '5': Bombardier Aerospace
            '6': British Aerospace
            '7': Canadair
            '8': Cessna
            '9': Cirrus Aircraft
            '10': Dassault Aviation
            '11': Dornier
            '12': Douglas Aircraft Company
            '13': Embraer
            '14': Eurofighter
            '15': Fairchild
            '16': Fokker
            '17': Gulfstream Aerospace
            '18': Ilyushin
            '19': Lockheed Corporation
            '20': Lockheed Martin
            '21': McDonnell Douglas
            '22': Panavia
            '23': Piper
            '24': Robin
            '25': Saab
            '26': Supermarine
            '27': Tupolev
            '28': Yakovlev
            '29': de Havilland
    - name: variant
      dtype:
        class_label:
          names:
            '0': 707-320
            '1': 727-200
            '2': 737-200
            '3': 737-300
            '4': 737-400
            '5': 737-500
            '6': 737-600
            '7': 737-700
            '8': 737-800
            '9': 737-900
            '10': 747-100
            '11': 747-200
            '12': 747-300
            '13': 747-400
            '14': 757-200
            '15': 757-300
            '16': 767-200
            '17': 767-300
            '18': 767-400
            '19': 777-200
            '20': 777-300
            '21': A300B4
            '22': A310
            '23': A318
            '24': A319
            '25': A320
            '26': A321
            '27': A330-200
            '28': A330-300
            '29': A340-200
            '30': A340-300
            '31': A340-500
            '32': A340-600
            '33': A380
            '34': ATR-42
            '35': ATR-72
            '36': An-12
            '37': BAE 146-200
            '38': BAE 146-300
            '39': BAE-125
            '40': Beechcraft 1900
            '41': Boeing 717
            '42': C-130
            '43': C-47
            '44': CRJ-200
            '45': CRJ-700
            '46': CRJ-900
            '47': Cessna 172
            '48': Cessna 208
            '49': Cessna 525
            '50': Cessna 560
            '51': Challenger 600
            '52': DC-10
            '53': DC-3
            '54': DC-6
            '55': DC-8
            '56': DC-9-30
            '57': DH-82
            '58': DHC-1
            '59': DHC-6
            '60': DHC-8-100
            '61': DHC-8-300
            '62': DR-400
            '63': Dornier 328
            '64': E-170
            '65': E-190
            '66': E-195
            '67': EMB-120
            '68': ERJ 135
            '69': ERJ 145
            '70': Embraer Legacy 600
            '71': Eurofighter Typhoon
            '72': F-16A/B
            '73': F/A-18
            '74': Falcon 2000
            '75': Falcon 900
            '76': Fokker 100
            '77': Fokker 50
            '78': Fokker 70
            '79': Global Express
            '80': Gulfstream IV
            '81': Gulfstream V
            '82': Hawk T1
            '83': Il-76
            '84': L-1011
            '85': MD-11
            '86': MD-80
            '87': MD-87
            '88': MD-90
            '89': Metroliner
            '90': Model B200
            '91': PA-28
            '92': SR-20
            '93': Saab 2000
            '94': Saab 340
            '95': Spitfire
            '96': Tornado
            '97': Tu-134
            '98': Tu-154
            '99': Yak-42
  splits:
    - name: train
      num_bytes: 879465161.444
      num_examples: 3334
    - name: validation
      num_bytes: 866544443.931
      num_examples: 3333
    - name: test
      num_bytes: 874244310.534
      num_examples: 3333
  download_size: 2761722129
  dataset_size: 2620253915.909
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*

Code snippet to visualise the position of the box

import matplotlib.image as img
import matplotlib.pyplot as plt
from datasets import load_dataset
from matplotlib.patches import Rectangle

# Load dataset
ds_name = "HuggingFaceM4/FGVC-Aircraft"
ds = load_dataset(ds_name, use_auth_token=True)

# Extract information for the sample we want to show
index = 300
sample = ds["train"][index]
box_coord = sample["bbox"]
xmin = box_coord["xmin"]
ymin = box_coord["ymin"]
xmax = box_coord["xmax"]
ymax = box_coord["ymax"]
img_path = sample["image"].filename

# Create plot
# define Matplotlib figure and axis
fig, ax = plt.subplots()

# plot figure
image = img.imread(img_path)
ax.imshow(image)

# add rectangle to plot
ax.add_patch(
    Rectangle((xmin, ymin), xmax-xmin, ymax - ymin, fill=None)
)

# display plot
plt.show()