AHP Deocclusion Dataset
Date
3 years ago
Size
4.17 GB
Organization
Publish URL
Paper URL
License
Other
AHP stands for Amodal Human Perception, which consists of 56,599 images from several large-scale instance segmentation and detection datasets (COCO, VOC (w/SBD), LIP, Objects365, OpenImages). Each image has a pixel-level complete human segmentation mask.
This dataset was originally proposed to solve the human de-occlusion task.
The dataset contains:
- Training set: contains a total of 56,302 images with comprehensive human annotations.
- Validation set: contains a total of 297 synthetic occluded images.
- Test set: contains 56 artificial occlusion images in total.
AHP.torrent
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