AIbase
EN
Home
Swin Tiny Finetuned Cifar100
S

Swin Tiny Finetuned Cifar100

Developed by MazenAmria
Image classification model fine-tuned on CIFAR-100 dataset based on Swin Transformer Tiny architecture
Image Classification
Transformers
Open Source License:Apache-2.0#Image Classification#High Accuracy#Swin Transformer
Downloads 63
Release Time : 12/23/2022

Model Overview

This model is a fine-tuned version of Microsoft's Swin Transformer Tiny architecture on the CIFAR-100 dataset, specifically designed for image classification tasks, achieving 87.35% accuracy on the evaluation set.

Model Features

High Accuracy
Achieves 87.35% classification accuracy on CIFAR-100 test set
Based on Swin Transformer
Utilizes advanced Swin Transformer architecture with hierarchical feature extraction capabilities
Lightweight Model
Tiny version suitable for deployment in resource-constrained environments

Model Capabilities

Image Classification
Multi-class Recognition

Use Cases

Computer Vision
Object Classification
Classify objects in images, supporting 100 categories
Accuracy 87.35%
Educational Research
Can be used for benchmark testing in computer vision teaching and research
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
EnglishįŽ€äŊ“中文įšéĢ”中文ãĢãģんご
Š 2025AIbase