Swinv 2 Tiny Patch 4 Window 16 256
Microsoft's Swinv 2 Tiny Patch 4 Window 16 256 is a vision model that excels at image classification tasks, serving as a general-purpose backbone for both image classification and dense recognition tasks. It features a Swin Transformer v2 architecture, which builds hierarchical feature maps by merging image patches and has linear computation complexity to input image size due to local window-based self-attention computation.
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Output
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Max Output
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Technical Specifications
Model TypeVision
Context WindowNot available
Max Output TokensNot available
ParametersNot available
Release DateJun 14, 2022
Training CutoffNot available
Licenseapache-2.0
Open SourceYes
Input Modalities
Image
Output Modalities
Text
Capabilities
Resources & Links
Related Tools
Data sourced from official provider APIs and documentation
Last updated: Jun 23, 2026
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