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worked_examples/non-geospatial/README.md

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 # MapReader and non-geospatial images
 
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 ## Worked Examples
 
 - [classification_plant_phenotype](./classification_plant_phenotype)
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   * **Data access:** locally stored
   * **Annotations** are done on plant patches (i.e., slices of each plant image).
   * **Classifier:** train/fine-tuned PyTorch CV models.
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+  * 
 - [classification_mnist](./classification_mnist)
   * **Goal:** train/fine-tune PyTorch CV classifiers on MNIST.
   * **Dataset:** Example images taken from http://yann.lecun.com/exdb/mnist/.
   * **Data access:** locally stored
   * **Annotations** are done on whole MNIST images, **not** on patches/slices of those images.
   * **Classifier:** train/fine-tuned PyTorch CV models.
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+| Task Name  | Input Type | Link to Input Data | Brief Description of What Notebook Does | Output Type | Created By | Annotations | Model |
+| ------------- | ------------- | ------------- | ------------- | ------------- | ------------- | ------------- | ------------- |
+| Content Cell  | Content Cell  | Content Cell  | Content Cell  | Content Cell  | Content Cell  | Content Cell  | Content Cell  |
+| Content Cell  | Content Cell  | Content Cell  | Content Cell  | Content Cell  | Content Cell  | Content Cell  | Content Cell  |