Model Card for Fine-tuned MobileNetV2 Model for Cats vs. Dogs

Model Details

Overview

This model distinguishes cat and dog images. It uses the MobileNetV2 architecture (https://arxiv.org/abs/1801.04381) and is trained on the Cats vs Dogs dataset (https://www.tensorflow.org/datasets/catalog/cats_vs_dogs). This model performed with high accuracy on both Cat and Dog images.

Version

Owners

Model Cards Team, model-cards@google.com

Licenses

• Apache-2.0

References

• https://www.tensorflow.org/guide/keras/transfer_learning
• https://arxiv.org/abs/1801.04381

Citations

• https://github.com/tensorflow/model-card-toolkit/blob/master/model_card_toolkit/documentation/examples/Standalone_Model_Card_Toolkit_Demo.ipynb

Considerations

Use Cases

• This model classifies images of cats and dogs.

Limitations

• This model is not able to classify images of other classes.

Ethical Considerations

• Risk: While distinguishing between cats and dogs is generally agreed to be a benign application of machine learning, harmful results can occur when the model attempts to classify images that don’t contain cats or dogs.
  Mitigation Strategy: Avoid application on non-dog and non-cat images.