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Generate answers by combining image and text inputs
Microsoft Phi-3-Vision-128k is a visual question answering (Visual QA) model designed to generate detailed and accurate descriptions of images. It is part of the Phi-3 series, which focuses on advanced multi-modal processing capabilities, particularly in understanding and describing visual content.
• Advanced Vision Processing: Utilizes state-of-the-art computer vision techniques to analyze images and extract meaningful information. • High Accuracy: Designed to provide precise and relevant descriptions of image content, including objects, scenes, and contexts. • Efficient Processing: Optimized for fast inference, making it suitable for real-time applications. • Multi-Language Support: Capable of generating descriptions in multiple languages, expanding its utility across diverse use cases. • Integration Ready: Easily integrates with other Microsoft AI services for comprehensive solutions.
Example usage in Python:
from azure.cognitiveservices.vision import ComputerVisionClient
client = ComputerVisionClient(...)]
description = client.describe_image("image_url")
print(description)
What makes Microsoft Phi-3-Vision-128k different from other vision models?
Microsoft Phi-3-Vision-128k stands out for its high accuracy and efficiency, making it suitable for both small-scale and enterprise-level applications.
Can I use this model for real-time applications?
Yes, it is optimized for fast inference, making it ideal for real-time image analysis and description generation.
Is this model limited to English-only descriptions?
No, it supports multiple languages, allowing you to generate descriptions in the language of your choice.