Mobile passio on date

Mobile passio on date - iOS Developer Tools

2.3.1 by Passio Inc
(0 Reviews) July 27, 2025
Mobile passio on date Mobile passio on date Mobile passio on date Mobile passio on date Mobile passio on date Mobile passio on date

Latest Version

Version
2.3.1
Update
July 27, 2025
Developer
Passio Inc
Categories
Developer Tools
Platforms
iOS
File Size
7.8 MB
Downloads
0
License
Free
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More About Mobile passio on date

Mobile AI Data is the companion app of the Mobile AI platform.

Mobile AI Data is a mobile application designed to serve as a companion tool for the larger Mobile AI platform. Its primary function is to enable users to gather and collect data essential for developing artificial intelligence projects. The app helps streamline the data collection process, making it easier for developers to build robust datasets directly from their mobile devices.

Moreover, once the data is collected, users can test how well their AI models recognize and classify images in real-world scenarios. The app provides an integrated environment where recognition results can be evaluated quickly and efficiently, allowing for iterative improvements even while on the go. This integration simplifies the process of refining AI models without needing separate tools or platforms.

Passio's Mobile-AI self-service platform aims to simplify the deployment of computer vision technology for various applications. It allows companies to easily incorporate specialized, vertical-targeted computer vision solutions into their existing apps. The platform is designed to make advanced AI functionalities accessible to businesses without requiring extensive AI expertise.

Mobile AI, as part of this platform, provides users with the ability to train their own image classification models tailored to specific needs. Once trained, these models can be packaged into software development kits (SDKs), enabling on-device image classification. This capability facilitates fast, offline recognition directly on users’ devices, enhancing privacy and performance for mobile applications.

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