This is YOLO-v3 and v2 for Windows and Linux. YOLO (You only look once) is a state-of-the-art, real-time object detection system of Darknet, an open source neural network framework in C. YOLO is extremely fast and accurate. It uses a single neural network to divide a full image into regions, and then predicts bounding boxes and probabilities for each region.

This project is a fork of the original Darknet project.

Features

  • Support for Windows and Linux
  • State-of-Art models: CSP, PRN, EfficientNet
  • Ability for training recurrent models for accurate detection on video
  • Added data augmentation and activations
  • Ability for training with GPU-processing using CPU-RAM to increase the mini_batch_size and increase accuracy

Project Samples

Play Video Performance of YOLO-v3 Example of custom object detection YOLO screenshot

Project Activity

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Categories

Realtime Processing, Neural Network Libraries, Object Detection Models

License

Public Domain

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Darknet YOLO Web Site

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Additional Project Details

Operating Systems

Linux, Windows

Programming Language

C

Related Categories

C Realtime Processing Software, C Neural Network Libraries, C Object Detection Models

Registered

2020-02-24
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