This dataset is for detecting the drivable area and lane lines on the roads. Images are generated using stable diffusion model and images are annotated using labelme annotator.
For more info on the project we worked see this git repo
The dataset is structured into three distinct partitions: Train, Test, and Validation. The Train split comprises 80% of the dataset, containing both the input images and their corresponding labels. Meanwhile, the Test and… See the full description on the dataset page:
https://huggingface.co/datasets/Mattral/road-detection.
