metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - galbitang/autotrain-data-jeongmi_bedframe
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: 0.07792276848085786

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 94918146232
CO2 Emissions (in grams): 0.0779

Validation Metrics

Loss: 0.544
Accuracy: 0.824
Macro F1: 0.829
Micro F1: 0.824
Weighted F1: 0.819
Macro Precision: 0.859
Micro Precision: 0.824
Weighted Precision: 0.835
Macro Recall: 0.816
Micro Recall: 0.824
Weighted Recall: 0.824