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Vit Model Santiago Ahumada
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Vit Model Santiago Ahumada

Developed by santiagoahl
This model is a fine-tuned image classification model based on google/vit-base-patch16-224-in21k on a bean dataset, achieving 100% accuracy on the evaluation set.
Image Classification
Transformers
Open Source License:Apache-2.0#Bean Image Classification#High Accuracy#ViT Fine-tuning
Downloads 31
Release Time : 11/8/2022

Model Overview

This is a Vision Transformer model for bean image classification, capable of accurately identifying different types of beans.

Model Features

High Accuracy
Achieved 100% classification accuracy on the bean dataset
Based on ViT Architecture
Uses the Vision Transformer base architecture with powerful image feature extraction capabilities
Fine-tuned Model
Optimized for specific tasks based on pre-trained models

Model Capabilities

Image Classification
Bean Recognition
Visual Feature Extraction

Use Cases

Agriculture
Bean Variety Identification
Used to identify different varieties of bean crops
Evaluation accuracy reached 100%
Food Processing
Raw Material Classification
Automatically classify different types of bean raw materials on food processing production lines
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