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2017summer_duke

Deep learning based semantic segmentation on satellite images

awesome-public-datasets

A topic-centric list of HQ open datasets. PR ☛☛☛

awesome-semantic-segmentation

awesome-semantic-segmentation

buildingchangedetector

基于U-Net检测卫星图像上的新增建筑

coordtransform

提供了百度坐标（BD09）、国测局坐标（火星坐标，GCJ02）、和WGS84坐标系之间的转换

corneal-gui

Corneal Boundaries Extraction with U-Net

data_location

中华人民共和国行政区划数据【省、市、区县、乡镇街道】**省市区镇三级四级联动地址数据（GB/T 2260）

dcnn-image-segmentation

Image Segmentation Methods Based on Deep Learning: Study and Implementation

deepglobe-road-extraction-challenge

D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction

deeplab-v2

DeepLab v2 support cudnn-v5

deeplab-v2--resnet-101--tensorflow

An (re-)implementation of DeepLab v2 (ResNet-101) in TensorFlow for semantic image segmentation on the PASCAL VOC 2012 dataset.

deeplab-windows

deeplabv3-tensorflow

Reimplementation of DeepLabV3

fcis

Fully Convolutional Instance-aware Semantic Segmentation

freebaiduvectordownload

免费的百度地图矢量下载工具，提供学校、道路、小区、POI矢量数据下载

gcoord

地理坐标库，支持坐标系的相互转换(WGS84，GCJ02，BD09等)，支持GeoJSON

hyperlpr

基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.

kittiseg

A Kitti Road Segmentation model implemented in tensorflow.

marrnet

MarrNet: 3D Shape Reconstruction via 2.5D Sketches

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mnist-tensorflow-androiddemo

mobilenet-_v1-mask-rcnn-for-detection

MobileNet _v1 for Mask rcnn

models

Models and examples built with TensorFlow

nested-unet

newfeelings

A smart album for Android which use tensorflow to classify images

openalpr

Automatic License Plate Recognition library

pydensecrf

Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

retina-unet

Retina blood vessel segmentation with a convolutional neural network

roaddamagedetector

roadsegmentation

Segmenting satellite images of earth : determining which parts are roads.