metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - johnhabeck/autotrain-data-analyze-vehicle-images
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: 2.9415774139015696

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 2256371855
CO2 Emissions (in grams): 2.9416

Validation Metrics

Loss: 0.336
Accuracy: 0.932
Macro F1: 0.870
Micro F1: 0.932
Weighted F1: 0.926
Macro Precision: 0.896
Micro Precision: 0.932
Weighted Precision: 0.937
Macro Recall: 0.864
Micro Recall: 0.932
Weighted Recall: 0.932