GOT-10k (Generic Object Tracking Benchmark)
Introduced by Huang et al. in GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild
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/Benchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
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GOT-10k
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ARTrackV2-L
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GOT-10k
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TATrack-L-GOT
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Papers
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