Deploy with Roboflow

YOLOv3 Keras

Though it is no longer the most accurate object detection algorithm, YOLO v3 is still a very good choice when you need real-time detection while maintaining excellent accuracy. Keras implementation.

Try the Model

Use the widget below to experiment with YOLOv3 Keras. You can detect COCO classes such as people, vehicles, animals, household items.

Overview

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YOLOv3 Keras License

YOLOv3 Keras

is licensed under a

MIT

license.

Performance

Deploy a YOLOv3 Keras API

You can use Roboflow Inference to deploy a

YOLOv3 Keras

API on your hardware. You can deploy the model on CPU (i.e. Raspberry Pi, AI PCs) and GPU devices (i.e. NVIDIA Jetson, NVIDIA T4).

Below are instructions on how to deploy your own model API.

Label Data Automatically with YOLOv3 Keras

You can automatically label a dataset using YOLOv3 Keras with help from Autodistill, an open source package for training computer vision models. You can label a folder of images automatically with only a few lines of code. Below, see our tutorials that demonstrate how to use YOLOv3 Keras to train a computer vision model.

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