metadata
tags:
- autotrain
- vision
- image-classification
datasets:
- Binssin/autotrain-data-faceclassifiervideo
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: 0.3567068301179428
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 53244125373
- CO2 Emissions (in grams): 0.3567
Validation Metrics
- Loss: 0.002
- Accuracy: 1.000
- Macro F1: 1.000
- Micro F1: 1.000
- Weighted F1: 1.000
- Macro Precision: 1.000
- Micro Precision: 1.000
- Weighted Precision: 1.000
- Macro Recall: 1.000
- Micro Recall: 1.000
- Weighted Recall: 1.000