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tags: |
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- fastai |
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# Model card |
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## Model description |
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A crude CV to classify retinal images. I started with a pretrained model (resnet18) and tuned it with a set of retinal images. |
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## Intended uses & limitations |
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Limitations stem primarily from a naïve use of the training data. Imbalances exist in the number of training images associated with each condition. In the future, a weighting function could be applied. |
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## Training and evaluation data |
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About 400 retinal images were downloaded from STATE (http://cecas.clemson.edu/~ahoover/stare/). |
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The model was tuned with 50 epochs. accuracy-multi: 91.4%; valid-loss: 26.0%; train-loss: 26.0% |
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