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Swin Tiny Patch4 Window7 224 Finetuned Agrivision

Developed by valadhi
Agricultural vision image classification model based on Swin Transformer Tiny architecture, fine-tuned on the imagefolder dataset with an accuracy of 92.03%
Downloads 13
Release Time : 9/8/2022

Model Overview

This model is a fine-tuned version of Microsoft's Swin Transformer Tiny architecture, specifically designed for image classification tasks in the agricultural vision domain.

Model Features

High-Precision Classification
Achieves 92.03% accuracy on the evaluation set, suitable for precise agricultural image classification
Swin Transformer Architecture
Based on the advanced Transformer vision architecture with excellent feature extraction capabilities
Agricultural Vision Optimization
Specially fine-tuned for agricultural vision tasks, suitable for processing agricultural scene images

Model Capabilities

Agricultural image classification
Visual feature extraction
Image recognition

Use Cases

Agricultural Intelligence
Crop Disease Identification
Identify disease types on crop leaves
92.03% accuracy
Crop Growth Status Monitoring
Determine crop growth stages and health conditions based on images
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