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LaSOT

Large-scale Single Object Tracking Benchmark

LaSOT

Large-scale Single Object Tracking (LaSOT) aims to provide a dedicated platform for training data-hungry deep trackers as well as assessing long-term tracking performance. LaSOT is featured in Large-scale: 1,400 sequences with more 3.52 millions frames High-quality: Manual annotation with careful inspection in each frame Category balance: 70 categories with each containing twenty sequences Long-term tracking: An average video length of 2512 frames (i.e., 83 seconds) Comprehensive labeling: providing both visual and lingual annotation for each sequence

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Task
Video Object Tracking
Annotation Types
Bounding Boxes
3520000
Items
70
Classes
3520000
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Research Only
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