metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - hamdan07/autotrain-data-lungultrasound
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: 1.3971381846584354

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 3310291874
CO2 Emissions (in grams): 1.3971

Validation Metrics

Loss: 0.001
Accuracy: 1.000
Macro F1: 1.000
Micro F1: 1.000
Weighted F1: 1.000
Macro Precision: 1.000
Micro Precision: 1.000
Weighted Precision: 1.000
Macro Recall: 1.000
Micro Recall: 1.000
Weighted Recall: 1.000