---
tags:
- autotrain
- vision
- image-classification
datasets:
- victor/autotrain-data-satellite-image-classification-11a7e0c2
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: 2.3259806262831075
---

# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 40975105875
- CO2 Emissions (in grams): 2.3260

## Validation Metrics

- Loss: 0.002
- Accuracy: 1.000
- Macro F1: 1.000
- Micro F1: 1.000
- Weighted F1: 1.000
- Macro Precision: 1.000
- Micro Precision: 1.000
- Weighted Precision: 1.000
- Macro Recall: 1.000
- Micro Recall: 1.000
- Weighted Recall: 1.000