PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
What it is, and how people use it
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export. It sits on the Dev Agents & Programs shelf of the catalog, maintained by @ultralytics.
Why builders keep it installedDev Agents & Programs benefits
These CLIs and dashboards solve one job well and install with a single command. Value shows up in the first hour, not after a config weekend.
Most of them ship an MCP server, skill or hooks - so the same tool you use manually becomes an action your agent can call safely.
Star counts here track repos people actually run daily: the issue history shows bug classes fixed under production pressure, not demo-week polish.
Every tool on this page ships under an open license and can be self-hosted. Your usage data and your configs stay yours.
Contributorsloading from GitHub…
Languagesestimated from snapshot
- Python 85.0%
- Shell 11.2%
- JavaScript 3.7%