

FieldDay: No-Code Vision AI Training on Your Phone
FieldDay turns your phone into a no-code vision AI lab, letting anyone train, refine, and deploy custom image-recognition models straight from the camera.
Overview
FieldDay is a mobile ML toolkit that puts the power of custom computer vision into the hands of everyday users, no coding required. Instead of relying on generic pre-trained models, you can capture your own datasets using your phone's camera, iteratively train recognition algorithms, and correct their mistakes on the fly to sharpen accuracy for your specific use case. Whether you're identifying plant species, sorting recyclables, or spotting a particular tool in a workshop, FieldDay adapts to whatever visual task you throw at it.
Beyond training, FieldDay is built to plug into the rest of your digital life. Models can trigger HomeKit automations, so your camera can flip on lights or control outlets based on what it sees, or be wired into Siri Shortcuts for hands-free, AI-powered actions. When you're ready to scale beyond the app, you can export trained models to other platforms and formats, making FieldDay a flexible starting point for hobbyist projects, classroom experiments, and even early-stage app prototypes.
Capabilities & Features
- Vision AI
- Machine Learning
- AI Training
- Home Automation
- Siri Shortcuts
- Mobile AI
- No-code AI
Core Features
- On-device custom vision AI model training
- Iterative dataset collection and correction workflow
- HomeKit integration for camera-triggered home automation
- Model export to external platforms and formats
- Siri Shortcuts integration for voice-activated AI predictions
- No-code interface for building camera-driven experiences
Use Cases
- Creating a custom object-recognition app without writing code
- Automating smart home devices based on what the camera detects
- Building educational tools that teach vision AI concepts hands-on
- Prototyping vision AI models before integrating them into larger apps
- Developing niche recognition tools for hobbies like plant identification or collectibles sorting
Best For
- AI enthusiasts
- Hobbyists
- Educators
- Home automation enthusiasts
- App developers
Pros
- •No coding required to train and deploy custom vision AI
- •On-device training keeps data collection and iteration fast and private
- •Deep HomeKit integration adds practical smart home value
- •Siri Shortcuts support enables hands-free AI workflows
- •Model export allows flexibility to use trained AI beyond the app
Cons
- •In-app purchases and credit packs may add up for heavy users
- •On-device training may be limited compared to cloud-based ML platforms for complex models
- •HomeKit and Siri features are only useful within the Apple ecosystem
- •Learning to fine-tune accuracy may still require some trial and error for beginners
How to Use
1. Open FieldDay and start a new project to define what you want your vision AI to recognize. 2. Use your phone's camera to collect a custom dataset of images representing your target objects or scenes. 3. Train the model directly on your device and test its predictions in real time. 4. Correct any misidentifications to iteratively fine-tune accuracy. 5. Connect the trained model to HomeKit devices to trigger automations based on camera input. 6. Set up Siri Shortcuts to run AI predictions hands-free. 7. Export your finished model to other platforms or formats to use it in broader projects.
Frequently Asked Questions
Pricing
FieldDay uses a base app with optional in-app purchases, including a $3.99 Basic Pro upgrade and additional AI training credit packs priced at $49.99 for 360 credits or $99.99 for 720 credits.
Pricing data is provided as a summary. Visit the vendor website for full tier details.