metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - davanstrien/autotrain-data-mapreader-5000
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: 0.008077657735064319

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 40830105612
CO2 Emissions (in grams): 0.0081

Validation Metrics

Loss: 0.038
Accuracy: 0.995
Macro F1: 0.983
Micro F1: 0.995
Weighted F1: 0.995
Macro Precision: 0.991
Micro Precision: 0.995
Weighted Precision: 0.995
Macro Recall: 0.975
Micro Recall: 0.995
Weighted Recall: 0.995