mlsanityData to 14 Oct 2026

ACCIDENT: A Benchmark Dataset for Vehicle Accident Detection from Traffic Surveillance Videos

arXiv 2604.09819 ↗First posted 10 Apr 2026cs.CV cs.AIcited by 7

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Abstract (arXiv)

We introduce ACCIDENT, a benchmark dataset for traffic accident detection in CCTV footage, designed to evaluate models in supervised (IID and OOD) and zero-shot settings, reflecting both data-rich and data-scarce scenarios. The benchmark consists of a curated set of 2,027 real and 2,211 synthetic clips annotated with the accident time, spatial location, and high-level collision type. We define three core tasks: (i) temporal localization of the accident, (ii) its spatial localization, and (iii) collision type classification. Each task is evaluated using custom metrics that account for the uncertainty and ambiguity inherent in CCTV footage. In addition to the benchmark, we provide a diverse set of baselines, including heuristic, motion-aware, and vision-language approaches, and show that ACCIDENT is challenging. You can access the ACCIDENT at: https://accidentbench.github.io

Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). Builds on 26 of its 44 references that are in the map. First posted on arXiv 10 Apr 2026.

Builds on

26 of 44 references.

References · 26

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  12. 2023DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Drivingcited by 73
14 more
  1. 2019Unsupervised Traffic Accident Detection in First-Person Videoscited by 70
  2. 2019DADA-2000: Can Driving Accident be Predicted by Driver Attention? Analyzed by A Benchmarkcited by 57
  3. 2023Synthetic Datasets for Autonomous Driving: A Surveycited by 48
  4. 2021DRIVE: Deep Reinforced Accident Anticipation with Visual Explanationcited by 46
  5. 2020IDDA: a large-scale multi-domain dataset for autonomous drivingcited by 31
  6. 2023Vision-Based Traffic Accident Detection and Anticipation: A Surveycited by 31
  7. 2016Anomaly Detection in Video Using Predictive Convolutional Long Short-Term Memory Networkscited by 24
  8. 2025When language and vision meet road safety: leveraging multimodal large language models for video-based traffic accident analysiscited by 21
  9. 2022TAD: A Large-Scale Benchmark for Traffic Accidents Detection from Video Surveillancecited by 20
  10. 2024Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baselinecited by 17
  11. 2024TrafficVLM: A Controllable Visual Language Model for Traffic Video Captioningcited by 17
  12. 2024Zero-shot Hazard Identification in Autonomous Driving: A Case Study on the COOOL Benchmarkcited by 2
  13. 2025Towards Vision Zero: The TUM Traffic Accid3nD Datasetcited by 2
  14. 2022Collision Detection: An Improved Deep Learning Approach Using SENet and ResNextcited by 1

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 7.

7 papers.