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