A paper list of object detection using deep learning.

This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.

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.

State-of-the-art Single Shot MultiBox Detector in Pure TensorFlow, QQ Group: 758790869

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

An iOS application of Tensorflow Object Detection with different models: SSD with Mobilenet, SSD with InceptionV2, Faster-RCNN-resnet101

Light-Head RCNN and One Novel Object Detector

[repo not maintained] Check out https://diffgram.com if you want to build a visual intelligence

Code for several state-of-the-art papers in object detection and semantic segmentation.

(Oriented) PsRoIAlign Operation In Tensorflow C++ API

A SOTA RON Detector in TensorFlow

TensorFlow and Pytorch practice codes with purity and simplicity.

An automatic webcam based image annotation tool for training quality deep learning/machine learning custom object detectors using state of the art architectures like Retinanet, Faster RCNN, Dlib's DNN mmod etc.

Keras implementation of RetinaNet for object detection and visual relationship identification

Raspberry Pi Movidius Neural Compute Stick person detector installer

YOLO Algorithm (Yolov2 model) trained on COCO Dataset for Object Detection

基于 mxnet, 实现 ssd demo for android

this repo attemps to reproduce DSOD: Learning Deeply Supervised Object Detectors from Scratch use gluon reimplementation

Resource collections of object detection

MobileNetV2 architecture combined with a dynamically generated Feature Pyramid Network

计算机视觉：阅读 & 写作 & 学习

Includes: Learning data augmentation strategies for object detection | GridMask data augmentation | Augmentation for small object detection in Numpy. Use RetinaNet with ResNet-18 to test these methods on VOC and KITTI.

This repository contains the code for real-time object detection. I'm using video stream coming from webcam. MobileNet-SSD and OpenCv has been used as base-line approach. TensorFlow object detection API has been used in revised approach.

Nhận dạng biển số nhà. Object detection. The Street View House Numbers (SVHN) Dataset

Eye detection in python with opencv

Library for training and testing object detection for Pytorch (ssd, retinanet)

Detection of vehicles using Image processing.

Machine Learning based Face detection and recognition

CAM using GSAP