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

Project Activity

See All Activity >

License

Public Domain

Follow Darknet YOLO

Darknet YOLO Web Site

Other Useful Business Software
Enterprise-grade ITSM, for every business Icon
Enterprise-grade ITSM, for every business

Give your IT, operations, and business teams the ability to deliver exceptional services—without the complexity.

Freshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
Try it Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Darknet YOLO!

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