metadata
tags:
- autotrain
- vision
- image-classification
datasets:
- kem000123/autotrain-data-cat_vs_dogs
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: 0.7950743476524714
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 1858163503
- CO2 Emissions (in grams): 0.7951
Validation Metrics
- Loss: 0.007
- Accuracy: 1.000
- Precision: 1.000
- Recall: 1.000
- AUC: 1.000
- F1: 1.000