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# High-precision Swin Model
Brain Tumor Classification
Apache-2.0
A fine-tuned brain tumor image classification model based on Swin Transformer architecture, achieving 96.47% accuracy on the evaluation set
Image Classification
Transformers
TransformersB
Devarshi
205
9
Swin Tiny Patch4 Window7 224 Finetuned Mri
Apache-2.0
This model is a fine-tuned version based on the Swin Transformer architecture, specifically designed for MRI image classification tasks, achieving an accuracy of 98.07% on the evaluation set.
Image Classification Transformers
TransformersS
raedinkhaled
14
1
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