README.md

metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - juliensimon/autotrain-data-food101
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: 179.11544810549532

Usage

from transformers import pipeline
p = pipeline("image-classification", model="juliensimon/autotrain-food101-1471154053")
result = p("my_image.jpg")

Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 1471154053
• CO2 Emissions (in grams): 179.1154

Validation Metrics

• Loss: 0.301
• Accuracy: 0.915
• Macro F1: 0.915
• Micro F1: 0.915
• Weighted F1: 0.915
• Macro Precision: 0.917
• Micro Precision: 0.915
• Weighted Precision: 0.917
• Macro Recall: 0.915
• Micro Recall: 0.915
• Weighted Recall: 0.915