metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - bazudde/autotrain-data-sweet-potato-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: 0.2585547491917275

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 44552112263
CO2 Emissions (in grams): 0.2586

Validation Metrics

Loss: 0.098
Accuracy: 0.923
Macro F1: 0.911
Micro F1: 0.923
Weighted F1: 0.918
Macro Precision: 0.958
Micro Precision: 0.923
Weighted Precision: 0.933
Macro Recall: 0.889
Micro Recall: 0.923
Weighted Recall: 0.923