Improve computer vision model accuracy by 50% and accelerate training cycles using a synthetic data cloud with automated 3D labeling and sensor simulation.
FieldDay
Build, train, and deploy custom computer vision AI models directly from your mobile device without writing any code or setting up external pipelines.
No paid plan
Free
About FieldDay
FieldDay is a mobile machine learning toolkit designed to bring custom vision AI development directly into users' hands without requiring any programming knowledge. Developed by New Material, the application allows anyone to create practical computer vision models entirely on a smartphone. Users begin by using their device camera to capture and annotate real-world visual training data, making the dataset collection process fast, visual, and highly contextual to their environment. Once training images are collected and annotated, FieldDay handles model training iteratively right on the device. Users can inspect and explore their training datasets, analyze model performance metrics, and refine labels to improve recognition accuracy. The application simplifies the traditionally complex machine learning pipeline into intuitive mobile interactions, allowing creators to rapidly test how well their models identify objects or environments in real time. Beyond basic image classification, FieldDay models can be exported and integrated into existing tools, services, and hardware workflows. An example explored by the developers includes connecting trained vision classifiers with Apple HomeKit. In this setup, pointing the phone camera at a recognized object, space, or appliance automatically surfaces interactive controls for smart home devices, functioning as a lightweight visual interface for IoT automation. FieldDay is suited for domain experts, smart home enthusiasts, researchers, and creators who need tailored image recognition but lack extensive ML engineering resources. Unlike traditional computer vision workflows that require separate hardware, complex cloud annotation platforms, and Python scripting, FieldDay bundles data capture, model training, analysis, and export into a single streamlined iOS app.
FieldDay pros & cons
Pros
- Enables complete computer vision model collection and training directly on an iPhone without coding.
- Supports real-world IoT triggers, such as bringing up HomeKit controls when specific objects are viewed.
- Includes built-in dataset exploration and model analysis tools to troubleshoot accuracy on the go.
Cons
- Currently restricted to iOS mobile devices via the Apple App Store.
- Complex computer vision architectures may be constrained by mobile hardware capabilities compared to cloud GPU clusters.
FieldDay use cases
- Smart home enthusiasts can train vision models on household items to trigger HomeKit automation controls simply by aiming their camera.
- Field researchers can collect and annotate localized visual datasets, such as historic street furniture, to train classification models on location.
- Non-technical creators can rapidly prototype and validate custom object recognition algorithms without managing complex cloud infrastructure.
FieldDay features
- homekit iot integration for context-aware smart home controls
- model export for external integrations
- iterative model training and performance analysis
- interactive image annotation and dataset exploration
- on-device training data capture using the phone camera
- no-code custom vision ai model creation
FieldDay pricing
Is FieldDay free? Yes, FieldDay has a free plan.
Free
Free
- Mobile vision AI data collection
- On-device image annotation
- Iterative model training
- Dataset exploration and analysis
- Model export capabilities
FieldDay FAQs
What is FieldDay?
FieldDay is an iOS mobile machine learning toolkit that lets users collect image datasets, annotate them, and train custom computer vision models directly on their phone without coding.
Can FieldDay integrate with smart home devices?
Yes, FieldDay models can integrate with Apple HomeKit. Recognizing objects or spaces through the camera can automatically surface connected HomeKit controls like lights and speakers.
Do I need coding experience to use FieldDay?
No coding experience is required. The platform provides a complete no-code workflow for capturing training data, running iterative model training, and exporting results.
On which platforms is FieldDay available?
FieldDay is available as a mobile application on the Apple App Store for compatible iOS devices.
Ratings & reviews
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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.
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