715 Open source projects that are alternatives of or similar to Mobilenet Yolo

Trial on kaggle imagenet object localization by yolo v3 in google cloud

Caffe implementation of SSD and SSDLite detection on MobileNetv2, converted from tensorflow.

Yolo (Real time object detection) model training tutorial with deep learning neural networks

A collaborative tool for labeling image data for yolo

Implementatoin of object detection using Tensorflow 2.1.0 | this can be use in a car for object detection

Scaled-YOLOv4: Scaling Cross Stage Partial Network

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

Compare FasterRCNN,Yolo,SSD model with the same dataset

Simple python wrapper for YOLO.

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2 https://github.com/AlexeyAB/darknet, https://github.com/pjreddie/darknet

Darknet2ncnn converts the darknet model to the ncnn model

Train a state-of-the-art yolov3 object detector from scratch!

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

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.

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

Modular tool that extracts images and labels from multiple datasets and parses them to Darknet format.

Self-hosted NVR with object detection

Caffe Implementation of Google's MobileNets (v1 and v2)

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

caffe based mobilenet v2 deploy

CCFDF rebar detection

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

Label images and video for Computer Vision applications

YoloV3 Implemented in Tensorflow 2.0

php wrapper for opencv

A caffe implementation of mobilenet's depthwise convolution layer.

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

Darknet with NNPACK

Vehicle-Rear: A New Dataset to Explore Feature Fusion For Vehicle Identification Using Convolutional Neural Networks

YOLOv2 algorithm reimplementation with pytorch

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

No description or website provided.

DroNet: Efficient convolutional neural network detector for Real-Time UAV applications

Visualize YOLO feature map in prediction for easily checking your model performance

The back-end for the YOLOv3 object detector running as a webapp

pnn is Darknet compatible neural nets inference engine implemented in Rust.

Target detection and multi target tracking platform based on Yolo DeepSort and Flask.

using yolox+deepsort for object-tracking

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

Deep Learning Applied To Vehicle Registration Plate Detection and Recognition in PyTorch.

yolo3 implement by tensorflow， including mobilenet_v1, mobilenet_v2

MobileNetV2_YOLOV3 for ncnn framework

C++ wrapper library for Darknet

Deep Learning Applications (Darknet - YOLOv3, YOLOv4 | DeOldify - Image Colorization, Video Colorization | Face-Recognition) with Google Colaboratory - on the free Tesla K80/Tesla T4/Tesla P100 GPU - using Keras, Tensorflow and PyTorch.

🐛 🐛 Opencv视频流传输到网页浏览器并做目标检测 🐛 🐛

https://towardsdatascience.com/tutorial-build-an-object-detection-system-using-yolo-9a930513643a

Pytorch implementation of YOLOX、PPYOLO、PPYOLOv2、FCOS an so on.

People detection and optional tracking with Tensorflow backend.

车牌识别，基于HyperLPR实现，修改模型调用方法，使用caffe+tensorRT实现GPU加速，修改了车牌检测模型

Robotics Operating System Package for Yolo v3 based on darknet with optimized tracking using Kalman Filter and Optical Flow.

Car Crash Accident Project

Marking up images for use with Darknet.

A PyTorch implementation of the YOLO v3 object detection algorithm

Multi-object trackers in Python

TensorRT for Yolov3

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

This project aims to count every vehicle (motorcycle, bus, car, cycle, truck, train) detected in the input video using YOLOv3 object-detection algorithm.

ODAM - Object detection and Monitoring

YOLO for object detection tasks

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