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RoadEye Unified Pothole Detection
The RoadEye dataset aggregates annotated and augmented road‑scene images from Roboflow, Mendeley, Kaggle, and custom synthetic collections for pothole detection and road‑condition analysis. It provides a consistent RFDETR annotation format across ~12 k images, split into training, validation, and test sets. To access training scripts go here:https://github.com/parthubhe/RoadEye_Backend
- Domain: Autonomous driving / road monitoring
- Tasks: Object detection, instance segmentation
- Size: ~12 k images, ~25 k annotated instances
- License: Combination of Roboflow, Mendeley, Kaggle, and CC‑BY‑4.0 (see individual source licenses)
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