metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - OttoYu/autotrain-data-tree-inspection
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: 2.1481896644746374

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 87833143598
CO2 Emissions (in grams): 2.1482

Validation Metrics

Loss: 1.251
Accuracy: 0.652
Macro F1: 0.594
Micro F1: 0.652
Weighted F1: 0.620
Macro Precision: 0.629
Micro Precision: 0.652
Weighted Precision: 0.642
Macro Recall: 0.617
Micro Recall: 0.652
Weighted Recall: 0.652