metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - ceogpt/autotrain-data-test-cgpt
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: 0.13483450579229497

Model Trained Using AutoTrain

Problem type: Binary Classification
Model ID: 57734132887
CO2 Emissions (in grams): 0.1348

Validation Metrics

Loss: 0.714
Accuracy: 0.294
Precision: 0.083
Recall: 0.500
AUC: 0.100
F1: 0.143