Swin Small Finetuned Cifar100
A small model based on the Swin Transformer architecture, fine-tuned on the CIFAR-100 dataset for image classification tasks
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Release Time : 12/29/2022
Model Overview
This model is a fine-tuned version of microsoft/swin-small-patch4-window7-224 on the CIFAR-100 dataset, primarily used for image classification tasks
Model Features
High Accuracy
Achieves 89.38% accuracy on the CIFAR-100 test set
Based on Swin Transformer
Utilizes the advanced Swin Transformer architecture with excellent visual feature extraction capabilities
Lightweight
Small model version suitable for resource-constrained environments
Model Capabilities
Image Classification
Visual Feature Extraction
Use Cases
Computer Vision
Object Recognition
Recognizes 100 common objects in the CIFAR-100 dataset
89.38% test accuracy
Educational Applications
Used for teaching and demonstrating how image classification models work
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