keras-yolo2
Object Detector
An implementation of YOLOv2 in Keras for object detection and regression tasks
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).
2k stars
67 watching
784 forks
Language: Jupyter Notebook
last commit: over 3 years agoLinked from 1 awesome list
convolutional-networksdeep-learningrealtimeregressionyolo2
Related projects:
| Repository | Description | Stars |
|---|---|---|
| A deep learning framework for object detection using YOLO3 and training datasets from various sources. | 1,605 | |
| An implementation of the YOLO object detection algorithm using TensorFlow and Keras | 161 | |
| A PyTorch implementation of the YOLO (You Only Look Once) v2 object detection algorithm with flexible configuration and parallel training capabilities. | 440 | |
| Real-time object detection using deep learning and a large dataset of classes | 1,184 | |
| Represents an implementation of the YOLOv2 object detection algorithm in Chainer for real-time object detection and tracking. | 338 | |
| An implementation of YOLOv2 in PyTorch for object detection using a darknet-based approach. | 1,556 | |
| A Python interface to YOLO object detection software using Darknet | 27 | |
| Trains a YOLOv2 object detector from scratch using Tensorflow | 138 | |
| Provides pre-trained YOLO object detection networks in MATLAB for real-time performance with good detection quality. | 6 | |
| An implementation of the YOLO object detection algorithm using TensorFlow and pre-trained models. | 774 | |
| An implementation of a unified network architecture for multiple object detection tasks using PyTorch | 1,992 | |
| An object detection implementation based on the YOLO algorithm tailored for Windows development using Visual Studio. | 51 | |
| Real-time object detection on Android using the YOLO network with TensorFlow | 669 | |
| Real-time object detection system for ROS using YOLO (You Only Look Once) on GPU and CPU. | 2,236 | |
| An implementation of object detection using the YOLO v1 model on iOS with CoreML | 163 |