metadata
tags:
- autotrain
- vision
- image-classification
datasets:
- friesel/autotrain-data-tarkov_images_reduced_i
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: 1.402074313856096
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 48889118357
- CO2 Emissions (in grams): 1.4021
Validation Metrics
- Loss: 0.038
- Accuracy: 0.986
- Macro F1: 0.977
- Micro F1: 0.986
- Weighted F1: 0.986
- Macro Precision: 0.980
- Micro Precision: 0.986
- Weighted Precision: 0.990
- Macro Recall: 0.982
- Micro Recall: 0.986
- Weighted Recall: 0.986