Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

YOLOv2 in PyTorch

YOLO9000: Better, Faster, Stronger - Real-Time Object Detection. 9000 classes!

k-means clustering with the Intersection over Union (IoU) metric as described in the YOLO9000 paper

Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow

PyTorch implementation of the YOLO (You Only Look Once) v2

C# Yolo Darknet Wrapper (real-time object detection)

Convolutional Neural Networks

YOLO: You only look once real-time object detector

TensorFlow implementation of the YOLO (You Only Look Once)

YOLO/YOLOv2 inspired deep network for object detection on satellite images (Tensorflow, Numpy, Pandas).

Survelliance system with deep learning based people detection (YOLO)

Lightweight turnkey solution for AI

YOLOv2 algorithm reimplementation with pytorch

A YOLOv2 model to detect helmets and persons with/without helmets.

YOLO integration with ROS for real-time object detection

gender/age classification

State of the art object detection in real-time using YOLOV3 algorithm. Augmented with a process that allows easy training of the classifier as a plug & play solution . Provides alert if an item in an alert list is detected.

Module for detecting traffic lights in the CARLA autonomous driving simulator. Based on the YOLO v2 deep learning object detection model and implemented in keras, using the tensorflow backend.

Deep visual mining for your photos and videos using YOLOv2 deep convolutional neural network based object detector and traditional face recognition algorithms