Datasets › GOT-10k
GOT-10k (Generic Object Tracking Benchmark)
The GOT-10k dataset contains more than 10,000 video segments of real-world moving objects and over 1.5 million manually labelled bounding boxes. The dataset contains more than 560 classes of real-world moving objects and 80+ classes of motion patterns.
Source: http://got-10k.aitestunion.com/ Image Source: https://arxiv.org/pdf/1810.11981.pdf
Benchmarks archive 2025-07-28
All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Visual Object Tracking | GOT-10k | SAMURAI-L Average Overlap 81.7 | SAMURAI: Adapting Segment Anything Model for Zero-Shot... | yangchris11/samurai | 42 | Compare |
| Video Object Tracking | GOT-10k | TATrack-L-GOT Average Overlap 76.6 | Target-Aware Tracking with Long-term Context Attention | hekaijie123/TATrack | 1 | Compare |
Papers archive 2025-07-28
30 shown of 32 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 239. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
The full list of 32 is in the JSON twin.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- GOT-10k
1 variant name, as the archive lists them.
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