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building-detection-unet

Trying out Building Detection using UNet

building_detection

This project is to identify buildings in satellite using Unet and masking method

camvid_unet

implementation of u-net on camvid dataset using fastaiv1

categorical

fastai to categorise and predict on tabular data

covid-19_tracking

基于Python+Flask+Echarts的疫情爬虫&数据可视化项目

fastai

The fastai deep learning library, plus lessons and tutorials

fastai-tabular

Testing fast.ai lib with tabular data

flask-zhenai-mongo-echarts

Flask+Mongodb+Echarts构建的web小应用

footprinter

Semantic segmentation for detection of buildings in Satellite images

gender-face-recognition

FastAI-02week: deployment task (wo)man face classification

landslide

Research project on building and evaluating deep learning models for landslides detection on satellite images

robosat

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

satellite-image-feature-detection

CNN to detect features such as roads/buildings in satellite images

satellite_building_detection.pytorch

Experiments to detect and classify residential buildings from satellite images

semantic-segmentation-of-building-roof

semantic-segmentation-on-buildings

Semantic segmentation on buildings based on the INRIA the INRIA Aerial Image Labeling Dataset using neural network

semantic_segment_rsimage

遥感影像深度学习语义分割

semantic_segmentation_contest

遥感图像稀疏表征与智能分析竞赛之语义分割

spacenet_off_nadir_solutions

Winning algorithms for the SpaceNet 4: Off-Nadir Building Footprint Detection Challenge

spacenetexploration

A sample project demonstrating how to extract building footprints from satellite images using a semantic segmentation model. Data from the SpaceNet Challenge.

unet

this is a simple demo for image segmentation.----unet网络进行语义分割的demo，用的数据集是KITTI

unetplusplus

Official Keras Implementation for UNet++ in IEEE Transactions on Medical Imaging and DLMIA 2018

workview

web:flask+mysql+echarts