Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Qwen2.5-VL marks the latest iteration in the Qwen vision-language model series, showcasing notable improvements compared to its predecessor, Qwen2-VL. This advanced model demonstrates exceptional capabilities in visual comprehension, adept at identifying a diverse range of objects such as text, charts, and various graphical elements within images. Functioning as an interactive visual agent, it can reason and effectively manipulate tools, making it suitable for applications involving both computer and mobile device interactions. Furthermore, Qwen2.5-VL is proficient in analyzing videos that are longer than one hour, enabling it to identify pertinent segments within those videos. The model also excels at accurately locating objects in images by creating bounding boxes or point annotations and supplies well-structured JSON outputs for coordinates and attributes. It provides structured data outputs for documents like scanned invoices, forms, and tables, which is particularly advantageous for industries such as finance and commerce. Offered in both base and instruct configurations across 3B, 7B, and 72B models, Qwen2.5-VL can be found on platforms like Hugging Face and ModelScope, further enhancing its accessibility for developers and researchers alike. This model not only elevates the capabilities of vision-language processing but also sets a new standard for future developments in the field.
Description
The overrides object shares the same type as the ChartOptions object associated with chart options, and it substitutes any simple fields it encounters with their corresponding matches in the options object. In instances where an array is present, such as in the xAxes and yAxes fields mentioned earlier, the lone object contained within the array serves as a template for overriding all elements within the corresponding array in the options object. Consequently, in the given example, every axis will have its tick and gridline colors modified. There exists one directive applicable to all chart types: baseChart, while there are eight distinct types of charts available: line, bar, radar, pie, polarArea, doughnut, bubble, and scatter. Each chart type offers unique visualizations tailored to specific data representation needs.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Alibaba Cloud
Yes
Angular
No
BLACKBOX AI
Yes
GitHub
No
Hugging Face
Yes
LM-Kit.NET
Yes
ModelScope
Yes
Parasail
Yes
Qwen Studio
Yes
kluster.ai
Yes
Integrations
Alibaba Cloud
No
Angular
Yes
BLACKBOX AI
No
GitHub
Yes
Hugging Face
No
LM-Kit.NET
No
ModelScope
No
Parasail
No
Qwen Studio
No
kluster.ai
No
Pricing Details
Free
Open source
Free Trial
No
Free Version
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
Yes
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Alibaba
Founded
1999
Country
China
Website
qwenlm.github.io/blog/qwen2.5-vl/
Vendor Details
Company Name
ng2-charts
Website
valor-software.com/ng2-charts/
Product Features
Computer Vision
Blob Detection & Analysis
No
Building Tools
No
Image Processing
No
Multiple Image Type Support
No
Reporting / Analytics Integration
No
Smart Camera Integration
No