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What is Qwen2.5-VL?

The Qwen2.5-VL represents a significant advancement in the Qwen vision-language model series, offering substantial enhancements over the earlier version, Qwen2-VL. This sophisticated model showcases remarkable skills in visual interpretation, capable of recognizing a wide variety of elements in images, including text, charts, and numerous graphical components. Acting as an interactive visual assistant, it possesses the ability to reason and adeptly utilize tools, making it ideal for applications that require interaction on both computers and mobile devices. Additionally, Qwen2.5-VL excels in analyzing lengthy videos, being able to pinpoint relevant segments within those that exceed one hour in duration. It also specializes in precisely identifying objects in images, providing bounding boxes or point annotations, and generates well-organized JSON outputs detailing coordinates and attributes. The model is designed to output structured data for various document types, such as scanned invoices, forms, and tables, which proves especially beneficial for sectors like finance and commerce. Available in both base and instruct configurations across 3B, 7B, and 72B models, Qwen2.5-VL is accessible on platforms like Hugging Face and ModelScope, broadening its availability for developers and researchers. Furthermore, this model not only enhances the realm of vision-language processing but also establishes a new benchmark for future innovations in this area, paving the way for even more sophisticated applications.

What is Azure AI Custom Vision?

Create a customized computer vision model in mere minutes with AI Custom Vision, a component of Azure AI Services, which allows for the personalization and integration of advanced image analysis across different industries. This innovative technology provides the means to improve customer engagement, optimize manufacturing processes, enhance digital marketing strategies, and much more, even if you lack expertise in machine learning. You have the flexibility to set up the model to identify specific objects that cater to your unique requirements. Constructing your image recognition model is simplified through an intuitive interface, where you can start the training by uploading and tagging a few images, enabling the model to assess its performance and improve its accuracy with ongoing feedback as you add more images. To speed up your project, utilize pre-built models designed for industries such as retail, manufacturing, and food service. For instance, Minsur, a prominent tin mining organization, successfully utilizes AI Custom Vision to advance sustainable mining practices. Furthermore, rest assured that your data and trained models will benefit from robust enterprise-level security and privacy protocols, providing reassurance as you innovate. The user-friendly nature and versatility of this technology unlock a multitude of opportunities for a wide range of applications, inspiring creativity and efficiency in various fields. With such powerful tools at your disposal, the potential for innovation is truly limitless.

Media

Media

Integrations Supported

Alibaba Cloud
Azure AI Services
Azure Marketplace
Crestwood Cloud
Hugging Face
LM-Kit.NET
Microsoft Azure
ModelScope
Qwen Chat
groundcover

Integrations Supported

Alibaba Cloud
Azure AI Services
Azure Marketplace
Crestwood Cloud
Hugging Face
LM-Kit.NET
Microsoft Azure
ModelScope
Qwen Chat
groundcover

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

$2 per 1,000 transactions
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Alibaba

Date Founded

1999

Company Location

China

Company Website

qwenlm.github.io/blog/qwen2.5-vl/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/products/ai-services/ai-custom-vision/

Categories and Features

Computer Vision

Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration

Categories and Features

Computer Vision

Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration

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