balnarendrasapa/road-detection
This is a course project for DSCI-6011 - Deep Learning. deals with Drivable Area and lane segmentation for self driving cars
This project helps self-driving car developers analyze road conditions by identifying drivable areas and lane lines from images. It takes raw road images as input and outputs segmented images with clear overlays of the safe driving path and lane boundaries. Engineers working on autonomous vehicle perception systems would use this to train and evaluate their models.
No commits in the last 6 months.
Use this if you are a developer or researcher building self-driving car systems and need a ready-made dataset and finetuned model for drivable area and lane detection.
Not ideal if you need a model specifically trained on real-world, diverse driving conditions beyond what can be synthesized by Stable Diffusion.
Stars
8
Forks
1
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Apr 03, 2024
Commits (30d)
0
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