Computer Vision Beans

🚀 Vision Transformer Fine-tuned on Beans

This model is a fine-tuned Vision Transformer (ViT) on the Beans dataset for image classification.

🚀 Quick Start

You can use the model directly with the Hugging Face Transformers:

from transformers import pipeline

classifier = pipeline('image-classification', model='your-username/your-model-name')
results = classifier('path/to/your/image.jpg')
print(results)

✨ Features

• This model is a Vision Transformer (ViT) fine-tuned on the Beans dataset for image classification.
• It can be used for image classification tasks, helping to identify diseases in bean leaves.

📦 Installation

No installation steps provided in the original document, so this section is skipped.

💻 Usage Examples

Basic Usage

from transformers import pipeline

classifier = pipeline('image-classification', model='your-username/your-model-name')
results = classifier('path/to/your/image.jpg')
print(results)

Advanced Usage

No advanced usage examples provided in the original document, so this part is skipped.

📚 Documentation

Model Description

The model was trained on the Beans dataset, which contains images of bean leaves classified into 3 categories:

• angular_leaf_spot (angular leaf spot),
• bean_rust (bean rust),
• healthy (healthy).

The fine-tuning was performed based on the pre-trained model google/vit-base-patch16-224-in21k, adjusted for 3 classes.

Intended Use

This model can be used for image classification tasks, assisting in the identification of diseases in bean leaves.

🔧 Technical Details

No specific technical details (more than 50 words) provided in the original document, so this section is skipped.

📄 License

This project is licensed under the Apache-2.0 license.