metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - shahukareem/autotrain-data-coral-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: 0.589456647079595

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 52977124783
CO2 Emissions (in grams): 0.5895

Validation Metrics

Loss: 0.175
Accuracy: 0.949
Macro F1: 0.950
Micro F1: 0.949
Weighted F1: 0.950
Macro Precision: 0.957
Micro Precision: 0.949
Weighted Precision: 0.956
Macro Recall: 0.948
Micro Recall: 0.949
Weighted Recall: 0.949