WiderPerson contains a total of 13,382 images with 399,786 annotations, i.e., 29.87 annotations per image, which means this dataset contains dense pedestrians with various kinds of occlusions. Hence, pedestrians in the proposed dataset are extremely challenging due to large variations in the scenario and occlusion, which is suitable to evaluate pedestrian detectors in the wild.
Source: WiderPerson: A Diverse Dataset for Dense Pedestrian Detection in the Wild
Image Source: http://www.cbsr.ia.ac.cn/users/sfzhang/WiderPerson/
Variants: WiderPerson
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Object Detection | IterDet (Faster RCNN, ResNet50, 2 iterations) | IterDet: Iterative Scheme for Object … | 2020-05-12 |
| Object Detection | IterDet (Faster RCNN, ResNet50, 1 iteration) | IterDet: Iterative Scheme for Object … | 2020-05-12 |
| Object Detection | PS-RCNN (Faster RCNN, ResNet50) | PS-RCNN: Detecting Secondary Human Instances … | 2020-03-16 |
| Object Detection | Faster RCNN (ResNet50) | WiderPerson: A Diverse Dataset for … | 2019-09-25 |
Recent papers with results on this dataset: