Platzi-vit-model-will-mendoza Open-source Image Classification Model - Precise Identification of Beans with 98.5% Accuracy

Platzi Vit Model Will Mendoza

Developed by willmendoza

An image classification model fine-tuned on a legume dataset based on Google's ViT model, achieving 98.5% accuracy

Downloads 15

Release Time : 4/11/2023

Model Overview

This model is a fine-tuned version based on google/vit-base-patch16-224-in21k on a legume dataset, primarily used for image classification tasks.

High Accuracy

Achieves 98.5% classification accuracy on the legume dataset validation set

Based on ViT Architecture

Utilizes the Vision Transformer (ViT) architecture with powerful image feature extraction capabilities

Lightweight Fine-tuning

Requires only a few epochs of fine-tuning on the pre-trained model to achieve excellent performance

Image Classification

Plant Disease Identification

Crop Classification

Agriculture

Legume Variety Identification

Identify different varieties of legume crops

Validation set accuracy of 98.5%

Plant Health Detection

Detect the health status of legume crops

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1353	3.85	500	0.0648	0.9850

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