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.
This repository contains the conference version of LaSOT, published in CVPR-19 (LaSOT: A High-quality Benchmark for Large-scale Single Object Tracking).
LaSOT is featured in:
Large-scale: 1,400 sequences with more than 3.5 millions frames
High-quality: Manual… See the full description on the dataset page: https://huggingface.co/datasets/l-lt/LaSOT.
