Ultralytics YOLOv5 supports object detection, instance segmentation, classification, training, and export in PyTorch.
Open source
24 alternativesYolov3
This repository implements YOLOv3 variants in PyTorch for real time object detection, training, validation, inference, and export.
About Yolov3
Yolov3 is a PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for object detection. It predicts bounding boxes and class probabilities directly from full images in one forward pass, and includes tooling for training, validation, inference, and export.
It supports inference through PyTorch Hub and a detect.py script on images, video, webcam, screenshots, directories, and network streams, with results saved to runs/detect. It supports training on COCO and custom data, validation with val.py, and export to TorchScript, ONNX, OpenVINO, TensorRT, CoreML, and PaddlePaddle. Installation requires Python >=3.8.0 with PyTorch >=1.8, and commercial use requires an Enterprise License.
Key features
- Implements YOLOv3, YOLOv3-SPP, and YOLOv3-tiny in PyTorch
- Runs inference on images, video, webcam, screenshots, and streams
- Loads models via PyTorch Hub with automatic weight download
- Trains on COCO or custom datasets with configurable settings
- Validates detection accuracy using val.py script
- Exports to TorchScript, ONNX, OpenVINO, TensorRT, CoreML, PaddlePaddle
Best for: Developers and researchers who need to train and deploy YOLOv3 object detection in PyTorch.
Good for
- Includes three YOLOv3 variants with training, validation, and inference scripts
- Accepts varied inference sources including webcam and RTSP, RTMP, HTTP streams
- Supports export to multiple deployment formats
Watch out for
- Requires Python 3.8 or later with PyTorch 1.8 or later
- Commercial use requires requesting an Enterprise License
Yolov3 at a glance
- Category
- AI & Machine Learning › AI Data & Analytics
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Yolov3 FAQ
Which models are included in the repository?
YOLOv3, YOLOv3-SPP, and YOLOv3-tiny, loadable via PyTorch Hub as 'yolov3', 'yolov3_spp', and 'yolov3_tiny'.
What is required to install it?
Clone the repository and install dependencies from requirements.txt in a Python>=3.8.0 environment with PyTorch>=1.8.
Which export formats are supported?
TorchScript, ONNX, OpenVINO, TensorRT, CoreML, and PaddlePaddle using export.py, for example with --include onnx.
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