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kasra-hosseini committed Apr 27, 2022
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<div align="center">

| **classification_one_inch_maps_001**<br><a href="https://github.com/Living-with-machines/MapReader/tree/main/examples/geospatial/classification_one_inch_maps_001"><img src="figs/tutorial_classification_one_inch_maps_001.png" alt="tutorial for classification_one_inch_maps_001" width="400" height="200"></a><br><sup>**Tutorial:** train/fine-tune PyTorch CV classifiers on <ins>historical maps</ins>. Fig shows the rail infrastructure around London as predicted by a MapReader CV model.</sup> | **classification_plant_phenotype**<br><a href="https://github.com/Living-with-machines/MapReader/tree/main/examples/non-geospatial/classification_plant_phenotype"><img src="figs/tutorial_classification_plant_phenotype.png" alt="tutorial for classification_plant_phenotype" width="400" height="200"></a><br><sup>**Tutorial:** train/fine-tune PyTorch CV classifiers on <ins>plant patches</ins> in images (plant phenotyping example).</sup> |
| **classification_one_inch_maps_001**<br><a href="https://github.com/Living-with-machines/MapReader/tree/main/examples/geospatial/classification_one_inch_maps_001"><img src="figs/tutorial_classification_one_inch_maps_001.png" alt="tutorial for classification_one_inch_maps_001" width="300" height="150"></a><br><sup>**Tutorial:** train/fine-tune PyTorch CV classifiers on <ins>historical maps</ins>. Fig shows the rail infrastructure around London as predicted by a MapReader CV model.</sup> | **classification_plant_phenotype**<br><a href="https://github.com/Living-with-machines/MapReader/tree/main/examples/non-geospatial/classification_plant_phenotype"><img src="figs/tutorial_classification_plant_phenotype.png" alt="tutorial for classification_plant_phenotype" width="300" height="150"></a><br><sup>**Tutorial:** train/fine-tune PyTorch CV classifiers on <ins>plant patches</ins> in images (plant phenotyping example).</sup> |
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| **classification_mnist**<br><a href="https://github.com/Living-with-machines/MapReader/tree/main/examples/non-geospatial/classification_mnist"><img src="figs/tutorial_classification_mnist.png" alt="tutorial for classification_mnist" width="400" height="200"></a><br><sup>**Tutorial:** train/fine-tune PyTorch CV classifiers on <ins>MNIST</ins>.</sup> | |
| **classification_mnist**<br><a href="https://github.com/Living-with-machines/MapReader/tree/main/examples/non-geospatial/classification_mnist"><img src="figs/tutorial_classification_mnist.png" alt="tutorial for classification_mnist" width="300" height="150"></a><br><sup>**Tutorial:** train/fine-tune PyTorch CV classifiers on <ins>MNIST</ins>.</sup> | |
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**MapReader paper**<br><a href="https://arxiv.org/abs/2111.15592"> <img src="figs/mapreader_paper.png" alt="MapReader's paper" width="400"> </a>
**MapReader paper**<br><a href="https://arxiv.org/abs/2111.15592"> <img src="figs/mapreader_paper.png" alt="MapReader's paper" width="300"> </a>
</div>

## What is MapReader?
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