This project improves the BLIP model's image captioning accuracy by fine-tuning it with a Kaggle dataset. 📊 The refined model, integrated into a Streamlit app, allows users to upload images and receive captions. 🌟 The developer handles the fine-tuning process, enhancing model accuracy, while users interact with the model via a simple interface
active 2024-06-26 → 2024-08-26 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 62 days from 2024-06-26 to 2024-08-26. Pushes: 19 total, peak 10 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: 1 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 |
|---|---|---|---|---|
| Theagentvikram | 19 | 19 | 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 — 1 stars here means stars gained during the window, not the repo's star count.