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Swin Tiny Patch4 Window7 224 Finetuned Trash Classification
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Swin Tiny Patch4 Window7 224 Finetuned Trash Classification

Developed by maixbach
A fine-tuned model based on Swin Transformer architecture for garbage classification tasks, achieving 88.27% accuracy
Image Classification
Transformers
Open Source License:Apache-2.0#High-precision Image Classification#Garbage Classification Recognition#Swin Transformer
Downloads 22
Release Time : 1/3/2023

Model Overview

This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on an image folder dataset, specifically designed for garbage classification tasks.

Model Features

High Accuracy
Achieves 88.27% accuracy on garbage classification tasks
Based on Swin Transformer
Utilizes the advanced Swin Transformer architecture, suitable for image classification tasks
Fine-tuned Model
Optimized for garbage classification tasks based on a pre-trained model

Model Capabilities

Image Classification
Garbage Classification Recognition

Use Cases

Environmental Protection & Garbage Classification
Smart Garbage Classification System
Used for automatic identification and classification of garbage items
88.27% accuracy
Environmental Education Application
Helps users learn proper garbage classification
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