Alternatives and similar repositories for road-segmentation

Users that are interested in road-segmentation are comparing it to the libraries listed below

• mahmoudmohsen213 / airs
  Road Segmentation in Satellite Aerial Images
  ☆60Updated 5 years ago
• allykgray / DetectionTutorialSpaceNet
  This is a tutorial on training a network to detect buildings with the SpaceNet data.
  ☆25Updated 7 years ago
• osin-vladimir / kaggle-satellite-imagery-feature-detection
  Satellite Imagery Feature Detection (68 out of 419)
  ☆31Updated last year
• rogerxujiang / dstl_unet
  Dstl Satellite Imagery Feature Detection
  ☆144Updated 7 years ago
• jeradhoy / DeepSatelliteData
  List of labelled remote sensing datasets for use in deep learning.
  ☆58Updated 8 years ago
• mhamas / road-extraction-from-aerial-images
  ☆31Updated 8 years ago
• Lydorn / polycnn
  End-to-End Learning of Polygons for Remote Sensing Image Classification
  ☆45Updated 6 years ago
• ctu-geoforall-lab / i.ann.maskrcnn
  Mask R-CNN in GRASS GIS
  ☆40Updated 4 years ago
• mathildor / TF-SegNet
  SegNet-like network implemented in TensorFlow to use for segmenting aerial images
  ☆101Updated 6 years ago
• mshiv / sat-seg
  Deep learning for semantic segmentation of satellite imagery
  ☆10Updated last year
• marcbelmont / satellite-image-object-detection
  YOLO/YOLOv2 inspired deep network for object detection on satellite images (Tensorflow, Numpy, Pandas).
  ☆123Updated 7 years ago
• CosmiQ / basiss
  Broad Area Satellite Imagery Semantic Segmentation
  ☆24Updated 6 years ago
• isikdogan / deepriver
  a deep-learning-based river centerline extraction model
  ☆26Updated 7 years ago
• CosmiQ / CosmiQ_SN4_Baseline
  Baseline models, scripts, and helper functions for the SpaceNet 4: Off-Nadir Building Detection Challenge
  ☆18Updated 5 years ago
• ashnair1 / Mask-RCNN-for-Off-Nadir-Building-Detection
  Mask RCNN trained to detect buildings from the SpaceNet Off Nadir dataset
  ☆17Updated 5 years ago
• ManishSahu53 / Vector-Map-Generation-from-Aerial-Imagery-using-Deep-Learning-GeoSpatial-UNET
  We propose a simple yet efficient technique to leverage semantic segmentation model to extract and separate individual buildings in dense…
  ☆95Updated 3 years ago
• crowdAI / mapping-challenge-round2-starter-kit
  ☆32Updated 6 years ago
• SpaceNetChallenge / BuildingDetectors
  Winning building footprint detector implementations from the SpaceNet challenges.
  ☆157Updated 8 years ago
• aurotripathy / ssd-spacenet
  Detect buildings in the Spacenet satellite imagery dataset using Single Shot MultiBox Detector (SSD)
  ☆57Updated 8 years ago
• rachit-ranjan16 / CrownSeg
  Tree Crown Image Segmentation through Clustering with RGB, Hyperspectral and LiDAR as inputs
  ☆25Updated 6 years ago
• fMoW / first_place_solution
  ☆46Updated 7 years ago
• crowdAI / mapping-challenge-starter-kit
  Starter kit for getting started in the crowdAI Mapping Challenge
  ☆39Updated 7 years ago
• jeffwen / road_building_extraction
  Using Pytorch implementation of U-Net architecture for road and building extraction
  ☆125Updated 6 years ago
• nksaraf / lepton-footprint-extraction
  Automated building polygon extraction from satellite imagery
  ☆15Updated 5 years ago
• jshermeyer / SR_Utils
  Super-Resolution Utilities for managing large satellite images
  ☆16Updated 6 years ago
• SpaceNetChallenge / BuildingDetectors_Round2
  Building detector algorithms from second SpaceNet Challenge
  ☆193Updated 4 years ago
• rmkemker / EarthMapper
  Pipeline for the Semantic Segmentation (i.e., classification) of Remote Sensing Imagery
  ☆96Updated last year
• ternaus / kaggle_dstl_submission
  Code for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge
  ☆167Updated 6 years ago
• annieyan / PreprocessSatelliteImagery-ObjectDetection
  Satellite Imagery preprocessing for object detection
  ☆14Updated 6 years ago
• datasciencecampus / laika
  Experiments with satellite image data
  ☆121Updated 5 years ago