| --- |
| 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 |
