NutriScope101 is a deep learning model that classifies 101 types of food using the EfficientNetB0 architecture. Trained on the Food101 dataset with over 100,000 images, it employs techniques like mixed precision and fine-tuning for high accuracy. Ideal for dietary tracking, nutrition apps, and automated food labeling.
active 2024-08-23 → 2024-08-23 (UTC)
Activity over time
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Line chart, 1 days from 2024-08-23 to 2024-08-23. Pushes: 2 total, peak 2 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 |
|---|---|---|---|---|
| Ajeet-Rana | 2 | 2 | 0 | 0 |
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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.