LaSOT (Large-scale Single Object Tracking)
Introduced by Fan et al. in LaSOT: A High-quality Benchmark for 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.
Benchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
|---|---|---|---|---|---|
|
LaSOT
|
ODTrack-L
|
|||
|
LaSOT
|
TATrack-L
|
|||
|
LaSOT
|
Elysium
|
Papers
| Paper | Code | Results | Date | Stars |
|---|
