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markalan324基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
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This model is part of the family of SigLIP models finetuned for **person visual description and retrieval**. The splits are created as follows: - **CUHK-PEDES**: **test**: 1000 identities following the original split; **validation**: 150 identities sampled from the original validation split; **train**: all remaining identities - **ICFG-PEDES**: **test**: 946 identities following the original split; **validation**: 150 identities sampled from the original training split; **train**: all remaining identities - **IIITD**: **test**: 2500 identities following the original split; **validation**: 150 identities sampled from the original validation split; **train**: all remaining identities - **ITCPR**: Originally designed for zero-shot evaluation, so a new split is created:**test**: 1000 randomly selected identities; **validation**: 150 randomly selected identities; **train**: all remaining identities - **PRW**: **test**: 450 identities following the original split; **validation**: 150 identities sampled from the original training split; **train**: all remaining identities - **PETA**: The original random image-level split can cause identity leakage. Therefore, the identity-based split from PETA-ZS is adopted: **test**: 1706 identities following the original split; **validation**: 150 identities sampled from the original validation split; **train**: all remaining identities - **RSTPReid**: Only the 200 test images are used for evaluation due to annotation errors in the rest of the dataset. - **SYNTH**: 1000 random images are used for the test set because the generated captions are noisy and sometimes inaccurate. The model is evaluated on data mentioned above. The following table summarizes the number of identities, images, and queries for each subset. The final test set is a merge of all subsets.
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