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eziodad/Obstacle-Detection-Dataset-YOLO

ROD-Dataset: Real-Time Obstacle Detection for Smartphone-Based Assistive Vision 24,326-image, 25-class YOLO dataset for obstacle detection This dataset is the data product of our Real-Time Obstacle Detection (ROD) project at Amirkabir University of Technology, Tehran. The project addresses two related public-safety problems on the city sidewalk: the limited situational awareness of people living with visual impairments, and the elevated collision and fall risk for pedestrians… See the full description on the dataset page: https://huggingface.co/datasets/eziodad/Obstacle-Detection-Dataset-YOLO.

Author / organizationeziodad
License (as declared)mit
Downloads934 (as reported by Hugging Face)
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Created1 September 2026
Last updated at source1 September 2026
yoloyolov8object-detectionobstacle-detectionassistive-technologymobile-visionedge-aiurban-scenesautonomous-systemscomputer-visiondataset
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