Datasets > Modality > Images > Partial-REID

Partial-REID

Introduced by Zheng et al. in Partial Person Re-Identification

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

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