Datasets › AHP
AHP (Amodal Human Perception)
The AHP dataset consists of 56,599 images in total which are collected from several large-scale instance segmentation and detection datasets, including COCO, VOC (w/ SBD), LIP, Objects365 and OpenImages. Each image is annotated with a pixel-level segmentation mask of a single integrated human.
The dataset is initially proposed to solve the task of human de-occlusion.
Data Splits
- Train: Totally 56,302 images with annotations of integrated humans.
- Valid: Totally 297 images of synthesized occlusion cases.
- Test: Totally 56 images of artificial occlusion cases.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 5 papers for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
No task tagged in the archive.
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- AHP
1 variant name, as the archive lists them.
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