metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - Pafebla/autotrain-data-reconocimiento_banderas
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: 1.3323699904171715

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 2960885598
CO2 Emissions (in grams): 1.3324

Validation Metrics

Loss: 0.266
Accuracy: 0.950
Macro F1: 0.943
Micro F1: 0.950
Weighted F1: 0.949
Macro Precision: 0.963
Micro Precision: 0.950
Weighted Precision: 0.956
Macro Recall: 0.933
Micro Recall: 0.950
Weighted Recall: 0.950