metadata
tags:
- autotrain
- vision
- image-classification
datasets:
- JoffreyMa/autotrain-data-histopathological_image_classification
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: 4.820448255825163
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 3393093036
- CO2 Emissions (in grams): 4.8204
Validation Metrics
- Loss: 0.186
- Accuracy: 0.933
- Macro F1: 0.933
- Micro F1: 0.933
- Weighted F1: 0.932
- Macro Precision: 0.929
- Micro Precision: 0.933
- Weighted Precision: 0.934
- Macro Recall: 0.941
- Micro Recall: 0.933
- Weighted Recall: 0.933