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Platzi Vit Model Tommasory Beans
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Platzi Vit Model Tommasory Beans

Developed by tommasory
An image classification model fine-tuned on a bean dataset based on Google's ViT model, achieving 99.25% accuracy
Image Classification
Transformers
Open Source License:Apache-2.0#Bean Image Classification#High Accuracy#ViT Fine-tuning
Downloads 30
Release Time : 11/14/2022

Model Overview

This model is a fine-tuned version of Google's ViT-base-patch16-224-in21k model on a bean dataset, specifically designed for bean image classification tasks.

Model Features

High Accuracy
Achieves 99.25% classification accuracy on the bean dataset
Based on ViT Architecture
Utilizes the Vision Transformer architecture with powerful image feature extraction capabilities
Lightweight Fine-tuning
Efficient training through fine-tuning on a pre-trained model

Model Capabilities

Image Classification
Bean Recognition
Plant Image Analysis

Use Cases

Agriculture
Bean Variety Identification
Automatically identifies different varieties of beans
99.25% accuracy
Agricultural Product Quality Inspection
Used for grading and inspecting the quality of agricultural products
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