Dalageo/road-segmentation-idd
Distinguishing Urban Roads from Non-Road Regions in the Indian Driving Dataset(IDD) Using Binary Deep Learning Segmentation 🛣️
This project helps self-driving vehicle engineers and urban planners by analyzing images taken from vehicles in India. It takes urban driving images as input and identifies which pixels belong to roads versus non-road areas. The output is a clear, pixel-level map of the road, enabling better navigation, infrastructure assessment, and traffic management.
Use this if you need to accurately identify and map road regions in urban images, particularly for applications like autonomous navigation or infrastructure planning in complex real-world environments.
Not ideal if your primary need is identifying objects other than roads, or if your images are not from urban driving contexts.
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Language
Jupyter Notebook
License
GPL-3.0
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Last pushed
Dec 16, 2025
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