Platzi Vit Base Beans Omar Espejel
An image classification model fine-tuned on the beans dataset based on Google's ViT model, used to identify the health status of bean leaves
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Release Time : 7/28/2022
Model Overview
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the beans dataset, specifically designed for image classification tasks related to the health status of bean leaves.
Model Features
High accuracy
Achieves 99.25% classification accuracy on the beans dataset
Specialized domain application
Optimized specifically for identifying the health status of bean plants
Based on ViT architecture
Utilizes the Vision Transformer architecture with powerful image understanding capabilities
Model Capabilities
Image classification
Plant health status identification
Agricultural disease detection
Use Cases
Agriculture
Bean disease detection
Identify whether bean leaves are infected with diseases such as rust
99.25% accuracy
Plant health monitoring
Automatically assess the health status of bean plants
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