Improve computer vision model accuracy by 50% and accelerate training cycles using a synthetic data cloud with automated 3D labeling and sensor simulation.
FieldDay · Real-World AI
Build and train custom vision AI models on your iPhone without coding to automate home devices or export machine learning data to professional development tools.
About FieldDay · Real-World AI
FieldDay is a mobile machine learning toolkit designed to bring the power of computer vision directly to the iPhone. It allows users to create custom AI experiences by training models using their device's camera, removing the need for desktop environments or complex coding knowledge. Instead of relying on pre-existing datasets, the app enables real-time data collection and training in the palm of your hand. Its primary goal is to lower the barrier to entry for vision-based AI, making it accessible to hobbyists, students, and developers who want to prototype camera-driven interactions quickly and intuitively. The workflow involves a hands-on approach where users identify specific objects or categories and then capture visual data through the device's lens. By pointing the camera at different subjects, users can build a dataset in real-time. FieldDay makes it easy to fine-tune these models by allowing users to correct the AI when it makes a mistake, effectively narrowing the margin of error through iterative feedback. Once a model is functional, it can be linked to physical actions via Apple HomeKit. For instance, a user could train the app to recognize a specific object and trigger smart lights, fans, or power outlets. This bridges the gap between digital recognition and physical automation. Additionally, the app supports Siri Shortcuts, allowing users to get model predictions for images within automated iOS workflows. This tool is particularly well-suited for iOS developers, home automation enthusiasts, and educators. Developers can use it as a rapid prototyping tool to test computer vision concepts before moving to a full production environment. Home automation users benefit from the ability to create bespoke triggers for their smart home setups that go beyond standard motion sensors. It also serves as an excellent educational resource for students or teachers wanting to understand the fundamentals of machine learning through a hands-on, visual interface that provides immediate results without the frustration of debugging code. What sets FieldDay apart is its entirely on-device lifecycle, which prioritizes both speed and privacy. While many machine learning platforms require high-performance cloud processing or complex desktop software suites, FieldDay handles the intensive tasks of training, testing, and deployment entirely within the mobile environment. The ability to export these models to industry-standard formats and tools like Xcode or Snap Lens Studio ensures that work started on the phone can be scaled up or integrated into professional software projects. Recent updates have transitioned the app to a completely free model, removing previous subscription barriers and making sophisticated computer vision tools available to the general public.
Pros & cons
Pros
- Allows full training of vision models directly on an iPhone without external hardware.
- Completely free to use with no hidden subscription fees or in-app purchases.
- Seamlessly connects vision AI to physical smart home devices via Apple HomeKit.
- Supports exporting models to industry-standard formats like Core ML for use in professional development.
- Includes Siri Shortcuts integration to automate image recognition within iOS workflows.
Cons
- Limited exclusively to iOS users, with no availability for Android or desktop platforms.
- Requires a minimum of iOS 16.0, excluding users with older hardware models.
- Focuses only on vision-based AI, with no support for other ML types like audio or text analysis.
- Mobile-only interface may be less efficient for managing extremely large datasets compared to desktop tools.
Use cases
- Home automation enthusiasts can train models to recognize specific objects and trigger HomeKit scenes or devices automatically.
- iOS developers can prototype and test computer vision models on-device before exporting them to Xcode for production apps.
- AR creators can use the app to build custom vision models and export them directly to Snap Lens Studio for social filters.
- Educators can teach the fundamentals of machine learning by letting students train AI in real-time using their own environment.
- Power users can integrate AI image predictions into complex Siri Shortcuts to automate daily digital tasks.
Features
- no-code interface
- real-time data collection
- privacy-focused on-device processing
- algorithm fine-tuning
- siri shortcuts support
- model exporting (xcode, snap lens)
- homekit integration
- on-device model training
Pricing
Free
Free
- Train custom vision AI models
- No-code interface
- HomeKit device integration
- Export models to Xcode and Snap Lens
- Siri Shortcuts support
- On-device data collection
- Real-time model fine-tuning
- Unlimited features
- No in-app purchases
FAQs
Do I need coding experience to use FieldDay?
No, FieldDay is a no-code platform that allows you to train and deploy vision AI models using only your iPhone camera and an intuitive interface. It is designed for users of all technical levels, from hobbyists to professional developers.
What smart home devices can I control with my trained models?
FieldDay integrates directly with Apple HomeKit to control various smart devices. You can trigger actions for HomeKit-enabled lights, outlets, fans, and pre-configured scenes based on what your camera sees.
Can I use the models I train in other applications?
Yes, the app allows you to export your trained models to several popular formats and platforms. You can integrate your work into larger projects using tools like Xcode for iOS apps or Snap Lens Studio for augmented reality.
Does training happen on my phone or in the cloud?
Training and data collection occur directly on your iPhone, which ensures privacy and allows for immediate fine-tuning. This on-device approach lets you correct the algorithm in real-time if it makes an incorrect prediction.
What version of iOS is required to run the app?
FieldDay requires an iPhone running iOS 16.0 or later. It is optimized for the iPhone and leverages the device's camera and local processing power for machine learning tasks.
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