ICEMAN: Road Data Collection.
By: Jet_Locati
Stage: Data-Collection.
- Open:
- Yes
- Private:
- No
- Discipline:
- Computer Vision, CNN's, AI, ML
- Skills:
- Python, CVAN, Data Bases, Imaging
Description
As part of the ICEMAN road-survey drone project, a YOLO-based computer vision model is required to accurately detect and classify road conditions. While the project is led independently, gathering the large volume of reference images necessary for training will involve multiple contributors for data collection and annotation. This initiative serves as a strong introduction to convolutional neural networks (CNN'S) and practical computer vision workflows, including dataset labeling using tools like YOLO, Hugging Face and CVAT. Participants will gain hands-on experience applying cutting-edge CV techniques to a real engineering challenge with meaningful real-world impact.
Members
- Jet_Locati
- k4iro
- cossackgod
- ItzJimbo
- parker.tomkinson