size_categories:1K<n<10K format:parquet modality:image library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: pixel_values
    dtype: image
  - name: label
    dtype: image
  splits:
  - name: train
    num_bytes: 266830430.898
    num_examples: 2226
  download_size: 266840106
  dataset_size: 266830430.898
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---
Masks are not binary. They have id of classes. 

Each image has one class.

Total of 6 classes. 

2226 image. 


my_dataset
Dataset({
    features: ['pixel_values', 'label'],
    num_rows: 2226
})

my_dataset[0]
{'pixel_values': <PIL.PngImagePlugin.PngImageFile image mode=RGB size=224x224>,
 'label': <PIL.PngImagePlugin.PngImageFile image mode=L size=224x224>}