1168 Open source projects that are alternatives of or similar to Yolo_label

🍅 Deploy NCNN on mobile phones. Support Android and iOS. 移动端NCNN部署，支持Android与iOS。

🌲 Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.

Object detection with ssd_mobilenet and tiny-yolo (Add: YOLOv3, tflite)

Compare FasterRCNN,Yolo,SSD model with the same dataset

Annotation tool for YOLO in opencv

yolo(all versions) implementation in keras and tensorflow 2.4

Yolov3 Object Detection implemented as APIs, using TensorFlow and Flask

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

In-Browser Object Detection using Tiny YOLO on Tensorflow.js

OpenCV based DNN Object Detection Library for Openframeworks

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

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)

A PyTorch implementation of the YOLO v3 object detection algorithm

High level network definitions with pre-trained weights in TensorFlow

Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition

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

Computer vision based ML training data generation tool 🚀

YoloV3 Implemented in Tensorflow 2.0

reproduce the YOLO series of papers in pytorch, including YOLOv4, PP-YOLO, YOLOv5，YOLOv3, etc.

YOLOv3 implementation in TensorFlow 2.3.1

php ffi darknet

A Python wrapper on Darknet. Compatible with YOLO V3.

This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB🔥🔥🔥

Real-time object detection on Android using the YOLO network with TensorFlow

Multiple Object Tracking System in Keras + (Detection Network - YOLO)

YOLO3 动漫人脸检测 (Based on keras and tensorflow) 2019-1-19

People detection and optional tracking with Tensorflow backend.

Full implementation of YOLOv3 in PyTorch

This repository provides you with a easy to use labeling tool for State-of-the-art Deep Learning training purposes.

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

I transfer the backend of yolov3 into Mobilenetv1，VGG16，ResNet101 and ResNeXt101

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Head Person Helmet Detection on Construction Sites，基于目标检测工地安全帽和禁入危险区域识别系统，🚀😆附 YOLOv5 训练自己的数据集超详细教程🚀😆2021.3新增可视化界面❗❗

Label Studio is a multi-type data labeling and annotation tool with standardized output format

Keras implementation of yolo v3 object detection.

Labelbox is the fastest way to annotate data to build and ship computer vision applications.

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

A mobilenet SSD based face detector, powered by tensorflow object detection api, trained by WIDERFACE dataset.

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

🚘 "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.

Label images and video for Computer Vision applications

Tensorflow implementation of YOLO, including training and test phase.

A caffe implementation of MobileNet-YOLO detection network

These are a set of tools using OpenCV, Tensorflow and Keras, with which you can generate your own model of facial landmark detection and demonstrate the effect of newly-generated model easily.

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

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

A photo OCR project aims to output DMS messages contained in sign structure images.

A two stage multi-modal loss model along with rigid body transformations to regress 3D bounding boxes

Run 3 scripts to (1) Synthesize images (by putting few template images onto backgrounds), (2) Train YOLOv3, and (3) Detect objects for: one image, images, video, webcam, or ROS topic.

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2

🏀🤖🏀 AI web app and API to analyze basketball shots and shooting pose.

Convert any classification model or architecture trained in keras to an object detection model

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Data Annotation, Data Labeling, Annotation Tooling, Training Data for Machine Learning

YOLO ROS: Real-Time Object Detection for ROS