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metadata
tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - friesel/autotrain-data-tarkov_images_reduced_i
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: 0.012961185602762902

Model Trained Using AutoTrain

  • Problem type: Multi-class Classification
  • Model ID: 48889118355
  • CO2 Emissions (in grams): 0.0130

Validation Metrics

  • Loss: 0.039
  • 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