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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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

Screenshots View All

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 

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