{"url":"/dataset/ovt-b","name":"OVT-B","full_name":"Open-Vocabulary multi-object Tracking Benchmark","description_markdown":"OVT-B, a large-scale Open-Vocabulary multi-object Tracking Benchmark containing 1,973 videos and 637,608 annotated objects from 1,048 categories, surpassing the diversity of all current MOT datasets. OVT-B also includes some attributes especially for the MOT task, e.g., the scenarios of out-of-view, fast motion, mutual occlusion, and objects with various sizes, shapes, etc.","description_withheld":null,"homepage":"https://github.com/Coo1Sea/OVT-B-Dataset","introduced_date":"2024-10-23","introduced_date_note":null,"introduced_by":{"paper":"/paper/ovt-b-a-new-large-scale-benchmark-for-open","title":"OVT-B: A New Large-Scale Benchmark for Open-Vocabulary Multi-Object Tracking","first_author":"Haiji Liang","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["OVT-B"],"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":"2026-09-24T18:15:14+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."}