metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - everycoffee/autotrain-data-coffee-bean-quality
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: 2.621924746170691

Model Trained Using AutoTrain

Problem type: Binary Classification
Model ID: 97496146930
CO2 Emissions (in grams): 2.6219

Validation Metrics

Loss: 0.097
Accuracy: 0.990
Precision: 0.980
Recall: 1.000
AUC: 0.998
F1: 0.990