Fast key-value DB in Go.

A PyTorch Implementation of Single Shot MultiBox Detector

Single Shot MultiBox Detector in TensorFlow

Object detection and instance segmentation toolkit based on PaddlePaddle.

A Keras port of Single Shot MultiBox Detector

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

Building a Real-time Hand-Detector using Neural Networks (SSD) on Tensorflow

MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.

High quality, fast, modular reference implementation of SSD in PyTorch

Trainable models and NN optimization tools

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

计算机视觉相关论文整理、记录、分享; 包括图像分类、目标检测、视觉跟踪/目标跟踪、人脸识别/人脸验证、OCR/场景文本检测及识别等领域。欢迎加星,欢迎指正错误,同时也期待能够共同参与！！! 持续更新中... ...

pytorch version of SSD and it's enhanced methods such as RFBSSD,FSSD and RefineDet

Repository for Single Shot MultiBox Detector and its variants, implemented with pytorch, python3.

Implementation of Single Shot MultiBox Detector in TensorFlow, to detect and classify traffic signs

基于mobilenet-ssd车牌检测,全新模型仅3.4MB.

redis 3.2.8 的源码注释

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

Move directories without breaking shortcuts or installations

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

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

加注释的网络模型（便于理解）

SSD-based object and text detection with Keras, SSD, DSOD, TextBoxes, SegLink, TextBoxes++, CRNN

This repository host the code for real-time action detection paper

Object Detection API Tensorflow

CrystalDiskInfo

PyTorch implementation of several SSD based object detection algorithms.