lunar_vision siddharth277 · COMPLETED
This project is our submission for the SOI Lunar Vision Challenge. We built an AI-based system to detect craters and boulders on lunar surface images using YOLOv5. The project includes model training, test label prediction, and an interactive Gradio-based UI to visualize the detections.
github.com/siddharth277/lunar_vision · ★ 4 · Forks 0 · Size 22.4 MB
SUMMARY
Technologies 4
Scored 4
Observed 4
Practices 6
Evidence 4
Skips 0
COVERAGE
Analyzed 1348 files · 2 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
YAML LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
2 files · PRODUCTION
NumPy LIBRARY Depth 53
1 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2026-03-10
Last commit 2026-03-10
Active months 1
Commits 2