|
--- |
|
dataset_info: |
|
features: |
|
- name: image |
|
dtype: image |
|
- name: labels |
|
sequence: |
|
class_label: |
|
names: |
|
'0': complex |
|
'1': frog_eye_leaf_spot |
|
'2': healthy |
|
'3': powdery_mildew |
|
'4': rust |
|
'5': scab |
|
- name: label_names |
|
sequence: string |
|
- name: image_id |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 14557242028.669252 |
|
num_examples: 16768 |
|
- name: validation |
|
num_bytes: 1603451702.490748 |
|
num_examples: 1864 |
|
download_size: 16094435250 |
|
dataset_size: 16160693731.16 |
|
configs: |
|
- config_name: default |
|
data_files: |
|
- split: train |
|
path: data/train-* |
|
- split: validation |
|
path: data/validation-* |
|
license: apache-2.0 |
|
task_categories: |
|
- image-classification |
|
tags: |
|
- multi-label |
|
pretty_name: PlantPathology-Challenge-2021-FGVC8 |
|
size_categories: |
|
- 10K<n<100K |
|
--- |
|
## Description |
|
Dataset from the Plant Pathology 2021 (FGVC8) Challenge. |
|
|
|
' |
|
For Plant Pathology 2021-FGVC8, we have significantly increased the number of foliar disease images and added additional disease categories. This year’s dataset contains approximately 23,000 high-quality RGB images of apple foliar diseases, including a large expert-annotated disease dataset. This dataset reflects real field scenarios by representing non-homogeneous backgrounds of leaf images taken at different maturity stages and at different times of day under different focal camera settings. |
|
' |
|
|
|
The original dataset has one train split and a test split that was hidden for the challenge. I have taken 10% of train for a validation, using stratified sampling. I do not have access to the test samples. |
|
|
|
- Website: |
|
- https://www.kaggle.com/c/plant-pathology-2021-fgvc8 |
|
- https://sites.google.com/view/fgvc8/competitions/plantpathologychallenge2021 |
|
|
|
## Usage |
|
This dataset is serving as a canonical example for multi-label image classificatino datasets with `timm`. The additions to train & val scripts for this are a WIP... |
|
|
|
## Citation |
|
``` |
|
Thapa, Ranjita, Zhang, Kai, Snavely, Noah, Belongie, Serge, and Khan, Awais. Plant Pathology 2021 - FGVC8. |
|
https://kaggle.com/competitions/plant-pathology-2021-fgvc8, 2021. Kaggle. |
|
``` |
