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---
tags:
- autotrain
- vision
- image-classification
datasets:
- fsuarez/autotrain-data-autotrain-simple-classifierv2
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: 1.0491199369635873
---
# Model Description:
This model embodies a Vision Transformer (ViT) architecture tailored for image classification tasks. It's honed to accurately categorize
images into three specific classes: Button, RadioButton, and CheckBox.
# Training Data:
It's trained on a dataset comprising images from the three classes—Button, RadioButton, and CheckBox—enabling it to adeptly recognize and classify these distinct visual elements.
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 84935142669
- CO2 Emissions (in grams): 1.0491
## Validation Metrics
- Loss: 0.111
- Accuracy: 0.969
- Macro F1: 0.935
- Micro F1: 0.969
- Weighted F1: 0.969
- Macro Precision: 0.934
- Micro Precision: 0.969
- Weighted Precision: 0.970
- Macro Recall: 0.939
- Micro Recall: 0.969
- Weighted Recall: 0.969 |