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Revisited Oxford (R-Oxford / Roxford5k) — Medium split.

Revisited Oxford (R-Oxford, also referred to as Roxford5k) is the corrected/re-annotated version of the classic Oxford Buildings image retrieval benchmark introduced in “Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking” (Radenović et al., CVPR 2018 / arXiv:1803.11285). The authors provide revised ground-truth annotations (including bounding boxes and an updated query list: the 55 original queries plus 15 new challenging queries = 70 queries), three evaluation protocols of different difficulty (Easy / Medium / Hard), and an optional R1M set of hard distractor images for large-scale testing. The “Medium” split is the medium-difficulty evaluation protocol from this benchmark (i.e., the dataset subset/protocol used when reporting Medium-difficulty mAP in papers). The dataset is widely used for instance-level image retrieval / landmark retrieval evaluation; the authors publish the images (original Oxford images) and the revisited annotation files (e.g. gnd_roxford5k.mat) and provide code and downloads from the project page.

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