CNN-Based-Traffic-Analysis gokaycetinn · COMPLETED
An autonomous traffic analysis system developed by training a YOLOv8 model on the UA-DETRAC dataset. The system performs real-time vehicle detection and classification and presents results through an interactive Streamlit web interface.
github.com/gokaycetinn/CNN-Based-Traffic-Analysis · ★ 7 · Forks 0 · Size 34.7 MB
SUMMARY
Technologies 6
Scored 6
Observed 6
Practices 6
Evidence 6
Skips 0
COVERAGE
Analyzed 14 files · 5 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
1 files · PRODUCTION
MongoDB DATABASE Depth 61
1 files · CONFIGURATION
NumPy LIBRARY Depth 54
1 files · PRODUCTION
RabbitMQ MESSAGE_BROKER Depth 61
1 files · CONFIGURATION
pandas LIBRARY Depth 54
1 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2026-01-18
Last commit 2026-03-05
Active months 2
Commits 5