{"url":"/dataset/fsvod-500","name":"FSVOD-500","full_name":null,"description_markdown":"**FSVOD-500** is a large-scale video dataset comprising of 500 classes with class-balanced videos in each category for few-shot learning. FSVOD-500 is the first benchmark specially designed for few-shot video object detection for evaluating the performance of a given model on novel classes.\r\n\r\nSource: [Few-Shot Video Object Detection](https://arxiv.org/pdf/2104.14805v1.pdf)\r\n\r\nImage source: [Few-Shot Video Object Detection](https://arxiv.org/pdf/2104.14805v1.pdf)","description_withheld":null,"homepage":"https://github.com/fanq15/FewX","introduced_date":"2021-04-30","introduced_date_note":null,"introduced_by":{"paper":"/paper/few-shot-video-object-detection","title":"Few-Shot Video Object Detection","first_author":"Qi Fan","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Object Detection","url":"/task/object-detection","datasets_with_task":"/datasets/task/object-detection"}],"languages":[],"variants":["FSVOD-500"],"data_loaders":[{"repo":"https://github.com/fanq15/FewX","url":"https://github.com/fanq15/FewX","frameworks":["pytorch"]}],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}