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FieldDay is a no-code custom vision AI platform that enables users to train and deploy computer vision models directly from their mobile devices. Built by a team including Aaron Abentheuer, Gabriel Mitchell, Nick Nikolov, and Vedant Gurav, FieldDay solves the problem of making AI accessible to non-developers by eliminating the need for programming or machine learning expertise. Its core capabilities include collecting training data via the app's camera, training custom classifiers in real-time, testing models on live video, and exporting them to AR tools like Snap, 8thWall, and SwiftUI. The platform also features a HomeKit integration that allows trained models to trigger smart home controls based on visual recognition. FieldDay fits workflows for designers, product managers, and hobbyists who want to prototype vision-based interactions without writing code. It is particularly suited for rapid experimentation in retail, IoT, and augmented reality contexts.
4.2/5
High, consistent, and on-brand
Clean and minimal
To enable no-code custom vision AI training and deployment on mobile devices.
iOS app with export to Snap, 8thWall, SwiftUI, and HomeKit integration.
Freemium with paid tiers
Features with the highest value for users are highlighted here.
No-code custom vision AI
Real-time model testing
Data collection and management
Model export to AR tools
HomeKit integration
Burst image grouping
Device heat adaptation
Use your phone's camera to capture images of the objects or scenes you want to recognize.
Label the collected images and let FieldDay train a custom vision classifier in real time.
Point your camera at new examples to test the model's accuracy and adjust training data as needed.
Export the trained model to AR tools, HomeKit, or other platforms for use in your projects.
Product designers
IoT enthusiasts
AR developers
Retail innovators
Hobbyists
Educators
Startup founders
UX researchers
Creative technologists
Small business owners
Free
Pro
Team
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Claim this tool to manage plans, pricing, and listing details.
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