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What is FieldDay?

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.

AI Tool Review Summary

Performance Score

4.2/5

Content/Output Quality

High, consistent, and on-brand

Interface

Clean and minimal

AI Technology
Computer VisionLLM
Purpose of Tool

To enable no-code custom vision AI training and deployment on mobile devices.

Compatibility

iOS app with export to Snap, 8thWall, SwiftUI, and HomeKit integration.

Pricing

Freemium with paid tiers

Features

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

Who Is It For?

Product designers

IoT enthusiasts

AR developers

Retail innovators

Hobbyists

Educators

Startup founders

UX researchers

Creative technologists

Small business owners

Pricing

Free

$0/free
  • Train up to 3 models
  • Real-time testing
  • Basic export
Popular

Pro

$19/monthly
  • Unlimited models
  • Advanced export to AR tools
  • HomeKit integration

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Pros & Cons

Pros

  • Enables rapid prototyping of vision AI without coding.
  • Seamless integration with AR platforms and smart home systems.

Cons

  • Limited to mobile-based capture and inference.
  • May require significant training data for complex tasks.

FAQs

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