Large-scale Single Object Tracking
LaSOT is a high-quality benchmark for Large-scale Single Object Tracking. LaSOT consists of 1,400 sequences with more than 3.5M frames in total. Each frame in these sequences is carefully and manually annotated with a bounding box, making LaSOT one of the largest densely annotated
tracking benchmark. The average video length of LaSOT
is more than 2,500 frames, and each sequence comprises
various challenges deriving from the wild where target objects may disappear and re-appear again in the view.
Variants: LaSOT
This dataset is used in 2 benchmarks:
Recent papers with results on this dataset: