FarzadNekouee/Garbage_Classification_ResNet50_Scratch_to_Transfer-Learning
View on GitHub ↗Related repositories →In this project, we harness ResNet50 for garbage classification. Using a dataset pivotal for automating waste segregation, we address challenges like class imbalance with data augmentation and tailored metrics. The journey involves analyzing the dataset, confronting imbalances, and developing models from scratch and via transfer learning.
active 2023-10-25 → 2025-02-24 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 489 days from 2023-10-25 to 2025-02-24. Pushes: 1 total, peak 1 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: 15 total, peak 5 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 |
|---|---|---|---|---|
| FarzadNekouee | 1 | 1 | 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 — 15 stars here means stars gained during the window, not the repo's star count.