LaSOT

Dataset Card for LaSOT Dataset Summary 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.

Papers using LaSOT (6)

Lasot: A High-quality Large-scale Single Object Tracking Benchmark2020 · 321 citesSparsett: Visual Tracking With Sparse Transformers2022 · 164 citesHard Occlusions In Visual Object Tracking2020 · 10 citesHim2sam: Enhancing SAM2 With Hierarchical Motion Estimation And Memory Optimization Towards Long-term Tracking2025 · 2 citesEfficient Visual Tracking With Exemplar Transformers2021Exploiting Lightweight Hierarchical Vit And Dynamic Framework For Efficient Visual Tracking2025