VeRi-Wild
홈페이지 · 논문 40편
Veri-Wild is the largest vehicle re-identification dataset (as of CVPR 2019). The dataset is captured from a large CCTV surveillance system consisting of 174 cameras across one month (30× 24h) under unconstrained scenarios. This dataset comprises 416,314 vehicle images of 40,671 identities. Evaluation on this dataset is split across three subsets: small, medium and large; comprising 3000, 5000 and 10,000 identities respectively (in probe and gallery sets). Source: Vehicle Re-Identification: an Efficient Baseline Using Triplet Embedding Image Source: https://github.com/PKU-IMRE/VERI-Wild
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