Computer Vision Beans
C
Computer Vision Beans
Developed by mestrevh
This is a Vision Transformer (ViT) model fine-tuned on a legume dataset for identifying disease conditions in legume leaves.
Downloads 29
Release Time : 3/9/2025
Model Overview
The model is trained on legume leaf image datasets and can classify and identify three conditions: angular leaf spot, bean rust, and healthy leaves.
Model Features
Disease identification
Accurately identifies common diseases in legume leaves
Efficient classification
Achieves efficient image classification based on ViT architecture
Fine-tuned model
Optimized for specific tasks based on pre-trained models
Model Capabilities
Image classification
Plant disease identification
Agricultural image analysis
Use Cases
Agriculture
Legume disease detection
Automatically detects whether legume leaves are diseased and identifies the type of disease
Can identify three conditions: angular leaf spot, bean rust, and healthy leaves
Crop health monitoring
Used for monitoring the health status of legume crops in the field
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