Alternatives and similar repositories for neural-road-inspector:

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

• Lichtphyz / Houston_flooding
  Using A Segmentation Neural Net to map out flooded areas of Houston TX using satellite imagery
  ☆27Updated 7 years ago
• HyperionAnalytics / PyDataNYC2014
  "Analyzing Satellite Images With Python Scientific Stack" by Milos Miljkovic
  ☆75Updated 10 years ago
• DigitalGlobe / geoio
  Easily interact with geospatial data, particularly Digitalglobe Imagery
  ☆33Updated 4 years ago
• rohitgeo / geonotebooks
  Jupyter notebooks for gaining geospatial insights
  ☆14Updated 3 years ago
• tchambon / DeepSentinel
  Deep learning pretrained model on satellite imagery (Sentinel-2)
  ☆78Updated 5 years ago
• PlatformStories / notebooks
  GBDX Stories notebooks.
  ☆31Updated 7 years ago
• sentinel-hub / water-observatory-backend
  Monitoring water levels of lakes and reservoirs using satellite imagery
  ☆81Updated 3 years ago
• mapbox / rio-toa
  Top Of Atmosphere (TOA) calculations for Landsat 8
  ☆39Updated 3 years ago
• dgketchum / satellite_image
  Python package to process images from Landsat tellites and return geographic information, cloud mask, numpy array, geotiff.
  ☆42Updated 2 years ago
• perrygeo / pyimpute
  Spatial classification and regression using Scikit-learn and Rasterio
  ☆125Updated 2 years ago
• shakasom / Deep-Learning-for-Satellite-Imagery
  Deep learning courses and projects
  ☆97Updated 6 years ago
• sshuair / dl-docker-geospatial
  Deep learning docker files and docker images for geospatial anaysis.
  ☆36Updated 6 years ago
• rander38 / Remote-Sensing-Indices-Derivation-Tool
  Calculate spectral remote sensing indices from satellite imagery
  ☆40Updated 6 years ago
• beeoda / tutorials
  Open source tutorials on remote sensing data analysis
  ☆47Updated 6 years ago
• earthlab / tutorials
  Tutorials for spatial data processing and analysis in R and Python
  ☆43Updated 5 years ago
• shaystrong / sagely
  ML pipeline tutorials for OSM labels to AWS Sagemaker
  ☆26Updated last year
• Geoyi / pixel-decoder
  A tool for running deep learning algorithms for semantic segmentation with satellite imagery
  ☆80Updated last year
• IllinoisStateGeologicalSurvey / keras-spatial
  Provides a SpatialDataGenerator class for accessing spatial data.
  ☆18Updated 5 years ago
• Qberto / ML_ObjectDetection_CAFO
  Repository containing model development, training, and execution for the CAFO satellite imagery detection process.
  ☆55Updated 6 years ago
• CosmiQ / solaris_tutorials
  Tutorials and workshop materials for solaris
  ☆24Updated 5 years ago
• ermongroup / Crop_Yield_Prediction
  ☆23Updated 7 years ago
• planetlabs / radiometric_normalization
  Implementation of radiometric normalization workflows
  ☆33Updated last year
• isikdogan / deepriver
  a deep-learning-based river centerline extraction model
  ☆26Updated 6 years ago
• CosmiQ / basiss
  Broad Area Satellite Imagery Semantic Segmentation
  ☆24Updated 6 years ago
• jqtrde / remote
  Remote sensing datasets and sources.
  ☆64Updated 7 years ago
• haoliangyu / pymasker
  generate masks from Landsat and MODIS land product QA band
  ☆43Updated 7 years ago
• mapbox / rasterio-cookbook
  [ARCHIVED] Python scripts demonstrating the usage of Rasterio
  ☆38Updated 5 years ago
• olivierhagolle / Start_maja
  To process a Sentinel-2 time series with MAJA cloud detection and atmospheric correction processor
  ☆51Updated 4 years ago
• adbedada / deep-learning-notebooks
  notebooks on deep learning for satellite imagery
  ☆15Updated 6 years ago
• developmentseed / spacenet-data
  Scripts for setting up the SpaceNet dataset for training a SegNet model
  ☆43Updated 8 years ago