The CIFAR-10 Image Classification project is a machine learning endeavor that aims to build a model capable of classifying 32x32 pixel color images into one of ten different categories. The CIFAR-10 dataset consists of 60,000 images divided into 10 classes, with each class containing 6,000 images.
active 2023-10-02 → 2023-10-02 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2023-10-02 to 2023-10-02. Pushes: 3 total, peak 3 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
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- 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 |
|---|---|---|---|---|
| Malbasahi | 3 | 3 | 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.