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Dataset assetOpen Source CommunityObject TrackingLow‑Light Environments
LLOT
The LLOT dataset was created by Guilin University of Technology and collaborators to support target tracking research in low‑light environments. It contains 269 challenging video sequences, totaling over 132,000 frames, each meticulously annotated. The dataset aims to advance low‑light tracking technologies, addressing gaps in existing benchmarks. Applications span video surveillance, autonomous driving, medical imaging, and other domains requiring reliable tracking under dim conditions.
Source
arXiv
Created
Aug 21, 2024
Updated
Aug 21, 2024
Signals
326 views
Availability
Linked source ready
Overview
Dataset description and usage context
H‑DCPT Dataset Overview
Dataset Status
- Availability: The dataset and code will be publicly released after the paper is accepted.
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