metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - puffy310/autotrain-data-synth-cats-or-dogs
widget:
  - src: >-
      https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
    example_title: Tiger
  - src: >-
      https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
    example_title: Teapot
  - src: >-
      https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
    example_title: Palace
co2_eq_emissions:
  emissions: 1.165641024416945

Resnet is more lightweight but this is better in terms of loss, at the cost of being 3.5X the size.

Model Trained Using AutoTrain

Problem type: Binary Classification
Model ID: 2540477801
CO2 Emissions (in grams): 1.1656

Validation Metrics

Loss: 0.000
Accuracy: 1.000
Precision: 1.000
Recall: 1.000
AUC: 1.000
F1: 1.000