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# Stroke Detection
Levit 128.fb Dist In1k Finetuned Stroke Binary
Apache-2.0
A vision Transformer model based on the LeViT-128 architecture, fine-tuned for binary stroke detection tasks
Image Classification
Transformers
TransformersL
BTX24
18
1
Beit Base Patch16 224 Pt22k Ft22k Finetuned Stroke Binary
Apache-2.0
This model is a fine-tuned version of microsoft/beit-base-patch16-224-pt22k-ft22k on a binary stroke detection dataset for image classification tasks, achieving an evaluation accuracy of 92.22%.
Image Classification Transformers
TransformersB
BTX24
36
1
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