6879 Open source projects that are alternatives of or similar to Yolov4 Cloud Tutorial

Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge

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Fish detection using Open Images Dataset and Tensorflow Object Detection

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.

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

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A Python wrapper on Darknet. Compatible with YOLO V3.

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

This repository provides train＆test code, dataset, det.&rec. annotation, evaluation script, annotation tool, and ranking.

Use the Intel D435 real-sensing camera to realize target detection based on the Yolov3 framework under the Opencv DNN framework, and realize the 3D positioning of the Objection according to the depth information. Real-time display of the coordinates in the camera coordinate system.ADD--Using Yolov5 By TensorRT model,AGX-Xavier,RealTime Object Detection

基于YOLO-lite的web实时人脸检测，tfjs人脸检测，目标检测

darknetpy is a simple binding for darknet's yolo detector

CoCalc: Collaborative Calculation in the Cloud

Implemented the YOLO algorithm for scene text detection in keras-tensorflow (No object detection API used) The code can be tweaked to train for a different object detection task using YOLO.

GCP Essentials for Bioinformatics Researchers

Keras Object Detection API with YOLK project 🍳

Repo for 42 days project to replicate/improve Airbnb's amenity (object) detection pipeline.

Zero Infrastructure Password Cracking

How to create custom COCO data set for object detection

Feature Pyramid Networks for Object Detection

简明 SSD 目标检测模型 keras version（交通标志识别 训练部分见 dev 分支）

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

Single Shot MultiBox Detector in TensorFlow

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Detectorch - detectron for PyTorch

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.

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

This repository contains easy SSD(Single Shot MultiBox Detector) implemented with Pytorch and is easy to read and learn

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

This easy-to-use library splits images and its bounding box annotations into tiles, both into specific sizes and into any arbitrary number of equal parts. It can also resize them, both by specific sizes and by a resizing/scaling factor.

Annotation tool for YOLO in opencv

How to train an object detection model with mmdetection

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YOLO ROS: Real-Time Object Detection for ROS

Google Brain AutoML

FCOS: Fully Convolutional One-Stage Object Detection.

R interface to fast.ai

YOLOv2 trained against custom dataset

Making custom object detector using Yolo (Java and Python)

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

🙄 Difficult algorithm, Simple code.

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

[Video]AWS Certified Machine Learning-Specialty (ML-S) Guide

How to train an object detection model easy for free

Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)

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Best Practices and Style Guides in BEEVA

🎨 Pytorch YOLO v5 训练自己的数据集超详细教程！！！ 🎨 (提供PDF训练教程下载）

Python and OpenCV based object tracking software

Some experiments with object detection in PyTorch

Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.

Almost Real-time Object Detection using Apple's CoreML and YOLO v1 -