Partial REID is a specially designed partial person reidentification dataset that includes 600 images from 60 people, with 5 full-body images and 5 occluded images per person. These images were collected on a university campus by 6 cameras from different viewpoints, backgrounds and different types of occlusion. The examples of partial persons in the Partial REID dataset are shown in the Figure.
Source: Foreground-aware Pyramid Reconstruction for Alignment-free Occluded Person Re-identification
Image Source: https://arxiv.org/abs/1810.07399
Variants: Partial-REID
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Person Re-Identification | KPR + SOLIDER | Keypoint Promptable Re-Identification | 2024-07-25 |
| Person Re-Identification | KPR | Keypoint Promptable Re-Identification | 2024-07-25 |
Recent papers with results on this dataset: