This Python script loads, preprocesses, and shuffles a dataset of cat, dog, horse, and human images for multi-class classification. It handles dataset extraction, image resizing (224x224), label assignment, and data shuffling. The processed data is used for training a ResNet50 model using the ImageNet dataset.
active 2024-08-18 → 2024-08-29 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 12 days from 2024-08-18 to 2024-08-29. Pushes: 4 total, peak 4 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: 3 total, peak 1 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 |
|---|---|---|---|---|
| Vamsi404 | 4 | 4 | 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 — 3 stars here means stars gained during the window, not the repo's star count.