Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Captur is an innovative computer-vision SDK that facilitates real-time photo validation within mobile applications. Utilizing on-device models, it assesses images at the moment of capture and can alert users to potential issues like blurriness, poor lighting, or the presence of faces, as well as ensure that photos adhere to specific guidelines before they are uploaded. This SDK is compatible with both iOS and Android platforms and can be incorporated into projects using Swift, Kotlin, React Native, and Flutter workflows. Teams can set image criteria in straightforward business language, allowing Captur to assist users in submitting high-quality evidence for tasks such as proof of delivery, checking micromobility parking, inspecting vehicles, and ensuring helmet compliance. Its image analysis operates offline on the user's device, while updates to policies and models can be handled independently. Additionally, applications have the capability to review or amend the outcomes determined by the model. Captur aims to support product and operations teams in developing mobile apps that depend on reliable user-generated images, thereby enhancing the overall quality and integrity of submissions. This approach not only streamlines the validation process but also fosters a better user experience by reducing the chances of incorrect submissions.
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.
API Access
Has API
Yes
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
Alibaba Cloud
No
BLACKBOX AI
No
Hugging Face
No
LM-Kit.NET
No
ModelScope
No
Parasail
No
Qwen Studio
No
kluster.ai
No
Integrations
Alibaba Cloud
Yes
BLACKBOX AI
Yes
Hugging Face
Yes
LM-Kit.NET
Yes
ModelScope
Yes
Parasail
Yes
Qwen Studio
Yes
kluster.ai
Yes
Pricing Details
Pricing is consumption-based and is sized to expected volume and use case. New customers can start with a paid pilot.
Free Trial
No
Free Version
No
Pricing Details
Free
Open source
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
Yes
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
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
Captur
Country
United Kingdom
Website
captur.ai/
Vendor Details
Company Name
Alibaba
Founded
1999
Country
China
Website
qwenlm.github.io/blog/qwen2.5-vl/
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
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