Yolov3 Open Source Projects

Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Ultralytics YOLOv3 in PyTorch > ONNX > CoreML > TFLite

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

Implementation of popular deep learning networks with TensorRT network definition API

Minimal PyTorch implementation of YOLOv3

A Keras implementation of YOLOv3 (Tensorflow backend)

All-in-One Development Tool based on PaddlePaddle

PyTorch ,ONNX and TensorRT implementation of YOLOv4

🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"

A PyTorch implementation of the YOLO v3 object detection algorithm

MOT using deepsort and yolov3 with pytorch

YoloV3 Implemented in Tensorflow 2.0

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

YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

NVIDIA DeepStream SDK 8.0 / 7.1 / 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models

Scaled-YOLOv4: Scaling Cross Stage Partial Network

Collaboration with wangxupeng(https://github.com/wangxupeng)

TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet

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

🙄 Difficult algorithm, Simple code.

Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow

在 oxford hand 数据集上对 YOLOv3 做模型剪枝（network slimming）

实现文字点选、选字、选择、点触验证码识别，基于pytorch训练

PaddleSlim is an open-source library for deep model compression and architecture search.

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

Complete YOLO v3 TensorFlow implementation. Support training on your own dataset.

yolov3 yolov4 channel and layer pruning, Knowledge Distillation 层剪枝，通道剪枝，知识蒸馏

🔥🔥🔥TensorRT for YOLOv8、YOLOv8-Pose、YOLOv8-Seg、YOLOv8-Cls、YOLOv7、YOLOv6、YOLOv5、YOLONAS......🚀🚀🚀CUDA IS ALL YOU NEED.🍎🍎🍎

Convert COCO JSON to YOLO format

High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀

TensorRT8.Support Yolov5n,s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.

tensorrt for yolo series (YOLOv11,YOLOv10,YOLOv9,YOLOv8,YOLOv7,YOLOv6,YOLOX,YOLOv5), nms plugin support

High level network definitions with pre-trained weights in TensorFlow

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

A caffe implementation of MobileNet-YOLO detection network

🔥 (yolov3 yolov4 yolov5 unet ...)A mini pytorch inference framework which inspired from darknet.

项目注释+论文复现+算法竞赛+Pytorch实践+LeetCode+VLM预训练

GUI for marking bounded boxes of objects in images for training neural network YOLO

Multi-object trackers in Python

More readable and flexible yolov5 with more backbone(gcn, resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer, etc) and (cbam，dcn and so on), and tensorrt

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

Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (ICCV, 2019)

🚀🚀🚀 YOLO series of PaddlePaddle implementation, PP-YOLOE+, RT-DETR, YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOv10, YOLO11, YOLOX, YOLOv5u, YOLOv7u, YOLOv6Lite, RTMDet and so on. 🚀🚀🚀

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.

Full implementation of YOLOv3 in PyTorch

Creating a software for automatic monitoring in online proctoring

YOLOv3 implementation in TensorFlow 2.3.1

A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.

Multi-person Human Pose Estimation with HRNet in Pytorch

Keras implementation of yolo v3 object detection.

convert mmdetection model to tensorrt, support fp16, int8, batch input, dynamic shape etc.

利用YOLOv3结合行人重识别模型，实现行人的检测识别，查找特定行人

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

YoloV3/tiny-YoloV3+RaspberryPi3/Ubuntu LaptopPC+NCS/NCS2+USB Camera+Python+OpenVINO

TensorRT-7 Network Lib 包括常用目标检测、关键点检测、人脸检测、OCR等 可训练自己数据

A Python wrapper on Darknet. Compatible with YOLO V3.