metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - dvs/autotrain-data-mulder-vs-scully-multi-model
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: 0.012178270797141812

Model Trained Using AutoTrain

Problem type: Binary Classification
Model ID: 82521142038
CO2 Emissions (in grams): 0.0122

Validation Metrics

Loss: 0.302
Accuracy: 1.000
Precision: 1.000
Recall: 1.000
AUC: 1.000
F1: 1.000