Involves the use of U-Net, a CNN architecture, specially designed for semantic segmentation tasks. Objective of this project is to improve accuracy of image segmentation . The model is built from scratch by creating a U-Net architechture and then training the model with a dataset from kaggle and then backpropagation using pytorch libraries.
active 2023-12-29 → 2025-01-23 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 392 days from 2023-12-29 to 2025-01-23. Pushes: 6 total, peak 2 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 |
|---|---|---|---|---|
| rishita3003 | 6 | 6 | 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.