AHP

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.