metadata
tags:
- autotrain
- vision
- image-classification
datasets:
- lossless/autotrain-data-vertigo-actors-03
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: 0.13270424514201326
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 90426144285
- CO2 Emissions (in grams): 0.1327
Validation Metrics
- Loss: 0.397
- Accuracy: 0.800
- Macro F1: 0.750
- Micro F1: 0.800
- Weighted F1: 0.800
- Macro Precision: 0.750
- Micro Precision: 0.800
- Weighted Precision: 0.800
- Macro Recall: 0.750
- Micro Recall: 0.800
- Weighted Recall: 0.800