ImaadHasan2002/Road-Segmentation-Object-Detection-using-Deep-Learning
View on GitHub ↗Related repositories →In this project, a deep learning-based approach is used for lane detection on semi-urban roads. The proposed model consists of two main components: a CNN architecture, ResNet101, for semantic segmentation to accurately detect and classify road features, and YOLOv8 for object detection.
active 2023-11-10 → 2024-08-06 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 271 days from 2023-11-10 to 2024-08-06. Pushes: 61 total, peak 61 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 2 total, peak 1 in a day. Comments: 2 total, peak 1 in a day. Stars: 5 total, peak 2 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| ImaadHasan2002 | 62 | 61 | 0 | 1 |
| JingYuchen9 | 3 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#1JingYuchen92024-07-08 04:38question about yolov8
- Issue#1JingYuchen92024-07-08 04:38question about yolov8
- Issue comment#1ImaadHasan20022024-07-07 05:56question about yolov8
- Issue#1JingYuchen92024-06-28 11:01question about yolov8
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 5 stars here means stars gained during the window, not the repo's star count.