my_bean_VIT Open-source Image Classification Model - Free Deployment for Accurate Bean Type Identification

My Bean VIT

Developed by woojinSong

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

Image Classification

Transformers

Open Source License:Apache-2.0 #Legume Classification #High-precision Recognition #Agricultural Image Processing

Downloads 28

Release Time : 8/3/2022

Model Overview

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

Model Features

High Accuracy

Achieved a classification accuracy of 99.25% on the legume dataset

Based on ViT Architecture

Utilizes the Vision Transformer architecture, suitable for image classification tasks

Efficient with Small Samples

Requires only a few training epochs (4 epochs) to achieve high performance

Model Capabilities

Image Classification

Legume Recognition

Crop Image Analysis

Use Cases

Agriculture

Legume Variety Identification

Automatically identify different varieties of legume crops

Accuracy reached 99.25%

Crop Quality Detection

Detect the quality of legume crops through image analysis

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2698	1.54	100	0.1350	0.9549
0.0147	3.08	200	0.0321	0.9925

Property	Details
Model Type	Vision Transformer fine - tuned on beans dataset
Training Data	beans
Metrics	accuracy
License	apache - 2.0

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My Bean VIT

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