Platzi Vit Model Omar Espejel
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Platzi Vit Model Omar Espejel
Developed by platzi
This is an image classification model fine-tuned on the beans dataset based on Google's ViT model, achieving an accuracy of 98.5%.
Downloads 23
Release Time : 1/5/2023
Model Overview
This model is a fine-tuned version of Google's ViT-base-patch16-224-in21k model on the beans dataset, primarily used for image classification tasks.
Model Features
High accuracy
Achieves a classification accuracy of 98.5% on the beans dataset
Based on ViT architecture
Uses the Vision Transformer architecture, suitable for image classification tasks
Lightweight fine-tuning
Requires only 4 training epochs to achieve high performance
Model Capabilities
Image classification
Plant disease identification
Use Cases
Agriculture
Bean plant disease identification
Identifies the health status and disease types of bean plants
Accuracy reaches 98.5%
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