metadata
tags:
- autotrain
- vision
- image-classification
datasets:
- ceogpt/autotrain-data-test-cgpt
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: 0.13483450579229497
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 57734132887
- CO2 Emissions (in grams): 0.1348
Validation Metrics
- Loss: 0.714
- Accuracy: 0.294
- Precision: 0.083
- Recall: 0.500
- AUC: 0.100
- F1: 0.143