NV‑VOT211 Dataset Overview

Summary

NV‑VOT211 is a newly proposed benchmark for evaluating nighttime visual object tracking algorithms. The dataset contains 211 diverse videos, providing 211,000 well‑annotated frames with eight attributes, including camera motion, deformation, fast motion, motion blur, small objects, interference, occlusion, and out‑of‑view.

Dataset Download

The dataset can be downloaded from the following link: NV‑VOT211 Dataset Download.

Evaluation Procedure

Running the Evaluation Script

Follow these steps to evaluate your algorithm: Evaluation Script Instructions.

Server Evaluation

The challenge is split into two phases: public and private.

• Private Phase: Up to 100 submissions per day.
• Public Phase: Up to 1 submission per month.

Evaluation results are detailed in this tutorial: Server Evaluation Guide.

Annotation Tools and Metadata

The annotation tools and related metadata are available here: Annotation Tools & Metadata.

Citation

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bibtex
@inproceedings{liu2024ntvot,
  title={NT-VOT211: A Large-Scale Benchmark for Night-time Visual Object Tracking},
  author={Yu Liu and Arif Mahmood and Muhammad Haris Khan},
  booktitle={Proceedings of the Asian Conference on Computer Vision (ACCV)},
  pages={to be announced},
  year={2024},
  organization={Springer}
}