Partial-iLIDS
Introduced by Wei-Shi Zheng et al. in Person re-identification by probabilistic relative distance comparison
Partial iLIDS is a dataset for occluded person person re-identification. It contains a total of 476 images of 119 people captured by 4 non-overlapping cameras. Some images contain people occluded by other individuals or luggage.
Source: Foreground-aware Pyramid Reconstruction for Alignment-free Occluded Person Re-identificationPapers
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