{"url":"/dataset/fgvd","name":"FGVD","full_name":"Fine-Grained Vehicle Detection","description_markdown":"**Fine-Grained Vehicle Detection** (**FGVD**) is a dataset for fine-grained vehicle detection captured from a moving camera mounted on a car. The FGVD dataset is challenging as it has vehicles in complex traffic scenarios with intra-class and inter-class variations in types, scale, pose, occlusion, and lighting conditions.\r\n\r\nIt contains 5502 scene images with 210 unique fine- grained labels of multiple vehicle types organized in a three-level hierarchy. While previous classification datasets also include makes for different kinds of cars, FGVD introduces new class labels for categorizing two-wheelers, autorickshaws, and trucks.\r\n\r\nSource: [A Fine-Grained Vehicle Detection (FGVD) Dataset for Unconstrained Roads](https://arxiv.org/pdf/2212.14569v1.pdf)\r\n\r\nImage Source: [https://github.com/iHubData-Mobility/public-FGVD](https://github.com/iHubData-Mobility/public-FGVD)","description_withheld":null,"homepage":"https://github.com/iHubData-Mobility/public-FGVD","introduced_date":"2022-12-30","introduced_date_note":null,"introduced_by":{"paper":"/paper/a-fine-grained-vehicle-detection-fgvd-dataset","title":"A Fine-Grained Vehicle Detection (FGVD) Dataset for Unconstrained Roads","first_author":"Prafful Kumar Khoba","url":null},"license":{"name":"BSD-3-Clause license","url":"https://github.com/iHubData-Mobility/public-FGVD/blob/main/LICENSE"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Object Detection","url":"/task/object-detection","datasets_with_task":"/datasets/task/object-detection"}],"languages":[],"variants":["FGVD"],"data_loaders":[],"num_papers_in_archive":1,"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":"2026-09-25T09:33:49+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."}