mrhwl123/AnimalTrack
AnimalTrack AnimalTrack 是首个面向野外多动物跟踪（Multi-Animal Tracking, MAT）的专用基准，服务于动物运动与行为分析，在生物学、生态学与动物保护等领域有广泛应用。论文发表于 International Journal of Computer Vision (IJCV 2023)。 数据规模 58 个视频序列，来自 10 个常见动物类别 约 25K 帧，每帧均经人工标注与仔细校验 平均每个序列含 33 个待跟踪目标（稠密轨迹） 每帧提供多轴对齐包围框 挑战特性 统一外观：同种动物外观高度相似，视觉特征难以区分 多样姿态：同一物种在不同运动状态下姿态差异极大 复杂运动：运动范围大，且频繁在飞行、游泳等模式间切换 引用 @article{zhang2023animaltrack, title={AnimalTrack: A Benchmark for Multi-Animal Tracking in the… See the full description on the dataset page: https://huggingface.co/datasets/mrhwl123/AnimalTrack.
| Author / organization | mrhwl123 |
|---|---|
| License (as declared) | other |
| Downloads | 175 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 14 September 2026 |
| Last updated at source | 15 September 2026 |
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