This project uses deep learning to predict snow conditions for skiing areas, which can be adapted for road maintenance planning. 3. Autonomous Driving in Snow (Robotics)
This repository provides a large-scale dataset (over 40,000 annotated images) collected in Montreal during the 2022 winter season. It is designed for classification tasks, defining four distinct road states based on snow coverage. snow road github
: Road layouts change physically when snow is piled into "windrows," requiring maps to update more frequently than in summer. Would you like to focus on a specific project's code architecture, or are you looking for a list of active repositories to contribute to? AI can make mistakes, so double-check responses Copy Creating a public link... You can now share this thread with others Good response Bad response Show all This project uses deep learning to predict snow
Developed at KAUST, this dataset is often linked via research repositories to improve computer vision applications in urban winter scenes. It is designed for classification tasks, defining four
A primary use of the term "snow road" on GitHub involves datasets designed to train machine learning models to recognize road surfaces under snow.
: Use the snow-road train command to train your model:
git clone https://github.com/snow-road/snow-road.git