metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - neil-code/autotrain-data-img-classification
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: 0.6526014128217533

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 84361142494
CO2 Emissions (in grams): 0.6526

Validation Metrics

Loss: 0.697
Accuracy: 0.753
Macro F1: 0.751
Micro F1: 0.753
Weighted F1: 0.754
Macro Precision: 0.761
Micro Precision: 0.753
Weighted Precision: 0.763
Macro Recall: 0.748
Micro Recall: 0.753
Weighted Recall: 0.753