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# Snack Classification
Swin Base Finetuned Snacks
Apache-2.0
A snack image classification model based on the Swin Transformer architecture, achieving an accuracy of 94.55% after fine-tuning on a snack dataset
Image Classification
Transformers
TransformersS
aspis
15
0
Snacks Classifier
A lightweight image classification model based on Microsoft's Swin Transformer Tiny architecture, achieving 92.86% test accuracy after fine-tuning on a snack classification dataset
Image Classification Transformers
TransformersS
Matthijs
15
0
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