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---
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language:
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- Python
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- PyTorch
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tags:
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- cifar
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- cats
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- upsidedown
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license: mit
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datasets:
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- cifar10_reduced
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metrics:
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- Accuracy
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- Precision
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- Recall
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model-index:
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- name: CatsNet
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results:
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- task:
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type: image-classification
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name: Image Classification
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dataset:
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type: cifar10
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name: CIFAR10_CATS
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metrics:
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- type: Accuracy
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value: 0.83
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name: Test Accuracy
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- type: Precision
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value: 0.83
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name: Test Precision
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- type: Recall
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value: 0.82
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name: Test Recall
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---
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Model for fatima-fellowship code challenge. <br>
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Full training and evaluation pipelines can be found at: https://colab.research.google.com/drive/1hjHn6EggRDsxOZz5fMo6ZdT-4aKcUCTt |
