metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - lossless/autotrain-data-vertigo-actors-02
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: 0.8490884873916714

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 90066144103
CO2 Emissions (in grams): 0.8491

Validation Metrics

Loss: 0.590
Accuracy: 0.833
Macro F1: 0.833
Micro F1: 0.833
Weighted F1: 0.833
Macro Precision: 0.833
Micro Precision: 0.833
Weighted Precision: 0.833
Macro Recall: 0.833
Micro Recall: 0.833
Weighted Recall: 0.833