language: code
license: mit
tags:
cifar
cats
upsidedown
datasets:
- cifar10_reduced
metrics:
Accuracy
Precision
Recall
model-index:
name: CatsNet
results:
task:
type: image-classification
name: Image Classification
dataset:
name: CIFAR10_CATS
type: cifar10
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.
Full training and evaluation pipelines can be found at: https://colab.research.google.com/drive/1hjHn6EggRDsxOZz5fMo6ZdT-4aKcUCTt