ROD-Dataset — Real-Time Obstacle Detection (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:

Source: Hugging Face Hub (jiasea/Obstacle-Detection-Dataset-YOLO). Metadata imported from the dataset’s Hub tags.