The greatest logistical barrier to long-term wildlife monitoring with camera traps is the overwhelming amount of human labor needed to annotate thousands or millions of images for ecological analysis. In this tutorial, learn how to train a deep learning model to automatically identify animals in camera trap images.
active 2024-04-23 → 2024-06-13 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 52 days from 2024-04-23 to 2024-06-13. Pushes: 5 total, peak 2 in a day. Pull requests: 2 total, peak 2 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
- 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 |
|---|---|---|---|---|
| mdhanna | 7 | 5 | 2 | 0 |
Recent activity
Latest issues, pull requests and releases
- Pull request#1mdhanna2024-06-12 14:19
- Pull request#1mdhanna2024-06-12 14:09
- Releasemdhanna2024-06-12 14:07
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.