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Cristian Vit
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Cristian Vit

Developed by agudelozc
This model is an image classification model fine-tuned on a bean dataset based on Google's ViT architecture, achieving 100% accuracy on the validation set.
Image Classification
Transformers
Open Source License:Apache-2.0#Bean Image Classification#High Accuracy#ViT Fine-tuning
Downloads 40
Release Time : 1/24/2023

Model Overview

This is an image classification model based on the Vision Transformer (ViT) architecture, specifically designed for bean image classification tasks.

Model Features

High Accuracy
Achieved 100% classification accuracy on the bean dataset validation set.
Based on ViT Architecture
Utilizes the Vision Transformer architecture with powerful image feature extraction capabilities.
Few-shot Fine-tuning
Fine-tuned on a relatively small bean dataset, demonstrating excellent transfer learning capability.

Model Capabilities

Image Classification
Plant Recognition
Agricultural Product Quality Detection

Use Cases

Agriculture
Bean Variety Identification
Automatically identify different varieties of beans
100% accuracy on validation set
Agricultural Product Quality Inspection
Detect the quality of bean products through image analysis
Education
Botany Teaching Aid
Assist students in identifying different types of leguminous plants
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