shijli/ade20k

ADE20K SceneParsing The 150-class ADE20K SceneParsing benchmark (the ADEChallengeData2016 release), packed as parquet so that a project can load it without unpacking the zip and wiring up paths first. from datasets import load_dataset ade = load_dataset("shijli/ade20k", "segmentation") # 20210 train / 2000 val Columns column id the release's image id (ADE_train_00000001), so any row joins back to a local copy image the JPEG, byte for byte as… See the full description on the dataset page: https://huggingface.co/datasets/shijli/ade20k.

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