OpenHotels OpenHotels is a large scale hotel image retrieval benchmark built from hotel room imagery and associated hotel metadata. The dataset is designed for hotel scale retrieval: given a query image, a system must retrieve the matching hotel from a large gallery containing both true matching classes and many distractor hotel classes. Dataset Structure The release contains image files under images/ and four metadata files: The benchmark has three image subsets: gallery : searchable reference images for all hotel classes, including distractor only hotels. test non object : held out room view query images. test object : held out object centric query images. Statistics Subset Hotels Images : : Gallery 41,027 253,597 Test Non Object 15,982 62,706 Test Object 4,707 54,842 The gallery contains 140,247 non object room view images and 113,350 object centric images. Across both test subsets there are 15,982 unique hotel classes; the gallery includes 25,045 distractor hotel classes that do not appear in either test subset. Metadata Schema metadata gallery.json Each row describes one gallery image. If is object is true , the row contains object type . If is object is false , the row contai…
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