Table Transformer Detection
Microsoft's Table Transformer Detection is a vision model fine-tuned for table detection tasks, utilizing a Transformer-based object detection architecture. It is genuinely best at detecting tables in documents, making it suitable for applications involving unstructured document analysis.
Input
Output
Context
1K
Max Output
-
Parameters
28.8M
Technical Specifications
Model TypeVision
Context Window1,024 tokens
Max Output TokensNot available
Parameters28.8M
Release DateOct 14, 2022
Training CutoffNot available
Licensemit
Open SourceYes
Input Modalities
Image
Output Modalities
Text
Capabilities
Resources & Links
Estimated GPU Requirements for Table Transformer Detection
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Related Tools
Data sourced from official provider APIs and documentation
Last updated: Jun 23, 2026
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