# SwinV2 architecture
Swinv2 Tiny Patch4 Window8 256 Finetuned Og Dataset 10e Finetuned Og Dataset 10e
Apache-2.0
A lightweight image classification model based on SwinV2 architecture, fine-tuned on an image folder dataset with 97.83% accuracy
Image Classification
Transformers

S
Gokulapriyan
17
0
Swinv2 Tiny Patch4 Window8 256 Finetuned Og Dataset 5e
Apache-2.0
This model is a fine-tuned image classification model based on the Swin Transformer V2 Tiny architecture, achieving 96.35% accuracy on the evaluation set.
Image Classification
Transformers

S
Gokulapriyan
15
0
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