P

Platzi Vit Base Beans Omar Espejel

Developed by platzi
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
Downloads 31
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
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
Š 2025AIbase