¡Por supuesto! Aquí tienes una descripción breve para la sección de descripción del README: Este proyecto tiene como objetivo desarrollar un modelo de aprendizaje automático para clasificar objetos de interior como puertas, ventanas, sillas, mesas y más. Utiliza el dataset de Kaggle Indoor Object Detection para entrenar y evaluar el modelo.
active 2024-06-20 → 2024-06-28 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 9 days from 2024-06-20 to 2024-06-28. Pushes: 17 total, peak 8 in a day. Pull requests: 1 total, peak 1 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 |
|---|---|---|---|---|
| eliudroman | 11 | 10 | 1 | 0 |
| TAUscience | 7 | 7 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Pull request#1eliudroman2024-06-21 00:26
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.