Datasets:
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update number of annotations
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README.md
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# Overhead Traffic Anomalies (OTA)
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This dataset contains traffic anomalies from **static overhead cameras** (intersections/roundabouts). It includes **32 anomaly categories** with a **relevance mapping** for severity-aware evaluation. For each camera, we provide video frames with YOLOv8 detections, including 24 h of training footage and 48 h of test footage with
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*Created as part of the Master’s thesis by Hanna Lichtenberg (2025), in cooperation with Starwit Technologies GmbH. See the thesis for details and baseline NDCG@50 results.*
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# Overhead Traffic Anomalies (OTA)
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This dataset contains traffic anomalies from **static overhead cameras** (intersections/roundabouts). It includes **32 anomaly categories** with a **relevance mapping** for severity-aware evaluation. For each camera, we provide video frames with YOLOv8 detections, including 24 h of training footage and 48 h of test footage with **1027 anomaly annotations**.
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*Created as part of the Master’s thesis by Hanna Lichtenberg (2025), in cooperation with Starwit Technologies GmbH. See the thesis for details and baseline NDCG@50 results.*
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