metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - OttoYu/autotrain-data-tree-class
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: 1.3038362907488008

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 43934111254
CO2 Emissions (in grams): 1.3038

Validation Metrics

Loss: 1.314
Accuracy: 0.537
Macro F1: 0.462
Micro F1: 0.537
Weighted F1: 0.515
Macro Precision: 0.461
Micro Precision: 0.537
Weighted Precision: 0.524
Macro Recall: 0.492
Micro Recall: 0.537
Weighted Recall: 0.537