fastai
classification
waste
resnet
mikaelapisani6 commited on
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Update README.md

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@@ -7,6 +7,7 @@ tags:
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  - waste
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  - fastai
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  - resnet
 
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@@ -99,5 +100,4 @@ After the first training, the model reached an accuracy of 0.98, here we can see
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  However, that first model had a lot of bias and limitations.
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  The final model trained with more images, many of them from the TACO dataset, reached an accuracy of 89%.
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- That model still has some limitation, but it's a lot more flexible than the first one.
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  - waste
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  - fastai
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  - resnet
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+ license: mit
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  However, that first model had a lot of bias and limitations.
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  The final model trained with more images, many of them from the TACO dataset, reached an accuracy of 89%.
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+ That model still has some limitation, but it's a lot more flexible than the first one.