Astronomical Classifier

Classify images of astronomical objects such as galaxies, nebulae, comets, asteroids, quasars, and star clusters.

Built for the fast.ai Practical Deep Learning Course by:

  • creating a custom dataset (less than 150 images per label) using Bing search API;
  • augmenting the dataset; and,
  • fine tuning ResNet50 (1 + 3 epochs) in paperspace.com.

Try at: https://huggingface.co./spaces/dcarpintero/fastai-interstellar

Two versions of the model are provided:

Class Model

This version fastai-interstellar-class

Classifies an image under an astronomy class:

  • asteroid
  • comet
  • galaxy
  • nebulae
  • planet
  • quasar in space
  • star cluster

Accuracy: 84%


Object Model

Available at fastai-interstellar-object

Recognizes a (limited) set of specific astronomical objects:

  • m31 andromeda
  • m33 triangulum
  • m81 bode
  • m82 cigar
  • ngc 1300
  • m104 sombrero
  • m51 whirlpool
  • m42 orion nebula
  • m17 omega nebula
  • m45 pleiades star cluster

Accuracy: 94.1%

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