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---
library_name: transformers
pipeline_tag: image-classification
tags:
- image-classification
- vit
- beans
datasets:
- AI-Lab-Makerere/beans
---
# ViT Beans Classifier
This model is a Vision Transformer fine-tuned for bean leaf disease classification.
## Model
Repository: Moussito/tpmlops
Base architecture: Vision Transformer (ViT)
## Dataset
Dataset: AI-Lab-Makerere/beans
The model classifies bean leaf images into three classes:
- angular_leaf_spot
- bean_rust
- healthy
## Evaluation
Accuracy: 0.9849624060150376
Evaluation loss: 0.08576356619596481
## Usage
Use the model with the Hugging Face image-classification pipeline and the repository Moussito/tpmlops.
## Example result
The published model was successfully tested on the Beans test dataset.
True class: angular_leaf_spot
Predicted class: angular_leaf_spot
Confidence: approximately 96 percent.
## MLOps
This project demonstrates:
- Model fine-tuning
- Model evaluation
- Publication to Hugging Face Hub
- Model Card documentation
- Inference from Hugging Face Hub
- Deployment with Hugging Face Spaces
## Limitations
This model was created for educational purposes and was fine-tuned specifically on the Beans dataset.
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