Image caption generators use deep learning models, combining CNNs and LSTMs, to create descriptive captions for images. CNNs extract visual features, while LSTMs generate coherent text based on these features. This approach helps produce accurate and meaningful captions, enhancing applications in accessibility, content creation, and image search.
active 2024-07-23 → 2025-02-15 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 208 days from 2024-07-23 to 2025-02-15. 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: 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 |
|---|---|---|---|---|
| shrreeeyyyyaaaaa | 2 | 2 | 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.