This project is an Object Detection Web App built using a fine-tuned YOLO (You Only Look Once) model specifically trained on the BCCD (Blood Cell Count and Detection) dataset. The app allows users to upload images and detect various types of blood cells, showcasing the power of deep learning and computer vision in biomedical applications.
active 2024-11-04 → 2024-11-04 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2024-11-04 to 2024-11-04. Pushes: 10 total, peak 10 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 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 |
|---|---|---|---|---|
| CrewArth | 10 | 10 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.