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Revisited Paris (RParis / R_Par / RParis6k) — Medium split.

Revisited Paris (often written RParis or R_Par) is the "revisited"/re-annotated version of the Paris 6k landmark image retrieval dataset introduced by Radenović et al. (CVPR 2018 / arXiv:1803.11285). The revisited benchmark fixes annotation errors, adds 15 new challenging queries to the original 55 (total 70 queries), provides per-query bounding boxes and reliable ground-truth files (e.g. gnd_rparis6k.mat), and defines three evaluation protocols of increasing difficulty (Easy, Medium, Hard). The “Medium” split refers to the Medium-difficulty evaluation protocol defined in the paper (commonly used for reporting mAP in image retrieval evaluations). The dataset is widely used for instance/landmark image retrieval research and is available for download along with the revisited annotations. In evaluations, mAP for the Medium split is commonly reported (e.g., in Table 3 of related works). The DINO paper (arXiv:2104.14294) reports results using models pretrained on Google Landmarks v2 (GLDv2).

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Revisited Paris (R_Par) — Medium split — Retrieval benchmark · Codesota | CodeSOTA