"No one is harder on a talented person than the person themselves" - Linda Wilkinson ; "Trust your guts and don't follow the herd" ; "Validate direction not destination" ;

January 20, 2019

Day #194 - Using Convolutional Neural Networks to Automatically Analyze Aerial and Satellite Imagery

Key Lessons
  • Tagging - Segmentation - Object Detection
  • Raster Vision is an open source framework for Python developers building computer vision 


  • models on satellite - https://docs.rastervision.io/en/0.8/
  • CNN and ML Overview
  • Data Imbalance issues handled with Data Augmentation (Flip / Rotate)
  • Resnets 


  • Resnet + Inception + DenseNet
  • Upsample and add to K Categories needed to segment
  • Sliding Window + Ensembling Models
  • NDVI in Satellite Imagery






Happy Mastering DL!!!

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