A deep learning model trained on millions of images to accurately identify 10 distinct dishes. With exceptional precision and reliability, this model excels in food classification tasks, making it an ideal solution for identifying common dishes in real-world applications.
active 2024-09-27 → 2024-09-27 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2024-09-27 to 2024-09-27. 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: 0 total, peak 0 in a day.
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| ArjunXvarma | 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 — 0 stars here means stars gained during the window, not the repo's star count.