{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/a-testbed-for-cross-dataset-analysis","title":"A Testbed for Cross-Dataset Analysis","arxiv_id":"1402.5923","date":"2014-02-24","proceeding":null,"authors":["Tatiana Tommasi","Tinne Tuytelaars","Barbara Caputo"],"abstract":"Since its beginning visual recognition research has tried to capture the huge\nvariability of the visual world in several image collections. The number of\navailable datasets is still progressively growing together with the amount of\nsamples per object category. However, this trend does not correspond directly\nto an increasing in the generalization capabilities of the developed\nrecognition systems. Each collection tends to have its specific characteristics\nand to cover just some aspects of the visual world: these biases often narrow\nthe effect of the methods defined and tested separately over each image set.\nOur work makes a first step towards the analysis of the dataset bias problem on\na large scale. We organize twelve existing databases in a unique corpus and we\npresent the visual community with a useful feature repository for future\nresearch.","url_abs":"http://arxiv.org/abs/1402.5923v1","url_pdf":"http://arxiv.org/pdf/1402.5923v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[],"tasks":[],"methods":[],"datasets_introduced":[{"slug":"cross-dataset-testbed","name":"Cross-Dataset Testbed","full_name":"Cross-Dataset Testbed"}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}