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README.md

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 ---
 license: apache-2.0
+metrics:
+- accuracy
+pipeline_tag: image-classification
+tags:
+- fastai
+- astronomy
 ---
+
+## Interstellar Classifier
+
+Classify images of interstellar objects such as galaxies, nebulae, comets, asteroids, quasars, and star clusters.
+
+Built for the fast.ai [Practical Deep Learning Course](https://course.fast.ai/) by:
+- creating a custom dataset (less than 150 images per label) using [Bing search API](https://www.microsoft.com/en-us/bing/apis/bing-web-search-api);
+- augmenting the dataset; and,
+- fine tuning ResNet50 (1 + 3 epochs) in [paperspace.com](https://www.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](https://huggingface.co/dcarpintero/fastai-interstellar-class/tree/main)*
+
+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](https://huggingface.co/dcarpintero/fastai-interstellar-object/tree/main)*
+
+Recognizes a (limited) set of **specific** interstellar 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%