Deep learning exploration on the EuroSAT dataset for land use classification. This project implements and experiments with multiple models, including ResNet, EfficientNet, Vision Transformers, and more, to classify satellite imagery into 10 different land cover categories.
active 2024-11-26 → 2024-12-17 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 22 days from 2024-11-26 to 2024-12-17. Pushes: 7 total, peak 2 in a day. Pull requests: 2 total, peak 2 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 |
|---|---|---|---|---|
| RingoKid | 9 | 7 | 2 | 0 |
Recent activity
Latest issues, pull requests and releases
- Pull request#1RingoKid2024-11-26 08:57
- Pull request#1RingoKid2024-11-26 08:57
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.