Datasets › Hawk Annotation Dataset

Hawk Annotation Dataset

Introduced by Jiaqi Tang et al. in Hawk: Learning to Understand Open-World Video Anomalies27 May 2024 archive 2025-07-28

Hawk Annotation Dataset includes language descriptions specifically for anomaly scenes in seven existing video anomaly datasets. These seven datasets include a variety of anomalous scenarios such as crime (UCF-Cirme), campus (ShanghaiTech and CUHK Avenue), pedestrian walkways (UCSD Ped1 and Ped2), traffic (DoTA), and human behavior (UBnormal). With the support of these visual scenarios, this dataset can perform comprehensive fine-tuning for various abnormal scenarios, being closer to open-world scenarios.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • Hawk Annotation Dataset

1 variant name, as the archive lists them.

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