Microsoft's Florence 2 Base is a chat model that excels in vision tasks, leveraging a sequence-to-sequence architecture and a large dataset of 5.4 billion annotations across 126 million images to master multi-task learning. It is genuinely best at handling a wide range of vision and vision-language tasks, including captioning, object detection, and segmentation, using a prompt-based approach.
Input
Output
Context
1K
Max Output
1K
Parameters
231.6M
Input Modalities
Output Modalities
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Data sourced from official provider APIs and documentation
Last updated: Jun 23, 2026
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