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ERI TF Notebooks

Python TensorFlow Keras

These are two notebooks that outline the construciton of two basic TensorFlow models using the labeled NOAA Emergency responce imagery (ERI).

1. Classification model notebook

to do

2. Segmenation model notebook

to do


data source:

NOAA emergency response imagery

NOAA image data retrieval:

psi- collect

Data labeling Tools:

CoastalImageLabeler

Doodler

Sniffer

label data source:

Classification data: DOI

Segmentation data: DOI

related analyses:

Labeling Poststorm Coastal Imagery for Machine Learning: Measurement of Interrater Agreement

An Active Learning Pipeline to Detect Hurricane Washover in Post-Storm Aerial Images: Earth ArXiv Preprint DOI

IoU Maps

ML Models:

Washover Models

Segmentation Gym

Coastal TF templates

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Segmentation model

  • Download from Zenodo
  • sort/pivot data
  • combine/adjudicate
  • train model
  • save model
  • load model
  • evaluate a single prediction

Classification Notebook

  • Download from Zenodo
  • sort/pivot data
  • combine/adjudicate
  • train model
  • save model
  • load model
  • evaluate a single prediction

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