ultralytics/yolov3
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
- Stars
- 11k
- Forks
- 3.4k
- Open issues
- 1
- Last push
- 1d ago
About yolov3
yolov3 is a free, open-source computer vision tool by ultralytics, written mainly in Python. PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export. It has 11k GitHub stars and 3.4k forks, and was last updated 1d ago. It's released under the AGPL-3.0 license, a standard open-source license.
- License
- AGPL-3.0
- Language
- Python
- Stars
- 10,621
- Last update
- 1d ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Yes
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yolov3 FAQ
Is yolov3 free?
Yes. yolov3 is open source and free to use. It's released under the AGPL-3.0 license, a standard open-source license.
Does yolov3 run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does yolov3 need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is yolov3 still maintained?
Yes. It was last updated 1d ago and has 1 open issues on GitHub.
What are alternatives to yolov3?
Similar free, open-source tools include yolov5, ultralytics, supervision, deep-learning-drizzle.