metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - galbitang/autotrain-data-sofa_style_classification
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: 3.4207192080038333

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 94412146080
CO2 Emissions (in grams): 3.4207

Validation Metrics

Loss: 0.863
Accuracy: 0.722
Macro F1: 0.660
Micro F1: 0.722
Weighted F1: 0.711
Macro Precision: 0.720
Micro Precision: 0.722
Weighted Precision: 0.735
Macro Recall: 0.667
Micro Recall: 0.722
Weighted Recall: 0.722