How do recent advancements in mobile-focused object detection models enhance performance and efficiency on low TDP general computing devices compared to traditional object detection methods on synthetic benchmarking?
active 2024-04-03 → 2024-04-26 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 24 days from 2024-04-03 to 2024-04-26. Pushes: 26 total, peak 6 in a day. Pull requests: 2 total, peak 1 in a day. Issues: 1 total, peak 1 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 |
|---|---|---|---|---|
| WatsonMLDev | 25 | 24 | 1 | 0 |
| pixeebot[bot] | 4 | 2 | 1 | 0 |
Recent activity
Latest issues, pull requests and releases
- Pull request#2WatsonMLDev2024-04-25 05:56
- Pull request#2pixeebot[bot]2024-04-23 03:17
- Issue#1pixeebot[bot]2024-04-15 20:35🧚🤖 Pixeebot Activity Dashboard
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.