FieldDay - ai tOOler
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FieldDay
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Apps (128)

FieldDay

Build personalized vision applications.

Tool Information

FieldDay is an AI tool that allows anyone to easily create personalized vision AI applications using just their smartphones.

With FieldDay, your camera becomes a powerful productivity tool! You can gather specific data related to your area of expertise, allowing you to refine and improve the algorithm over time. It serves as a mobile machine learning toolkit that lets you develop and integrate custom AI applications into the platforms you already use, all from the convenience of your phone.

What sets FieldDay apart is its ability to teach your apps how to "see" by empowering you to collect samples of what you want your AI to recognize. With just a tap of a button, you can create tailored AI models in a matter of minutes. Plus, you can see how accurate your AI is in real-time by visualizing its results, making it easy to know how well it’s performing.

Another fantastic feature of FieldDay is that it can train models to detect multiple objects in a single scene. It also provides tools for labeling, managing, and pushing out different versions of your models. This makes the overall process of building custom AI models simpler and quicker, so you can dive right in without any hassle.

FieldDay has just launched its first version for iOS, which you can find on the App Store. It comes with a wealth of resources, including a detailed guide on how to use the tool, pricing information, a legal overview, and access to a community of fellow users where you can collaborate and learn from each other.

Pros and Cons

Pros

  • Identifies multiple objects
  • Perfection of algorithm through iteration
  • Easy-to-use for non-coders
  • Push model iterations
  • Rapid model creation
  • Includes Pricing details
  • Extensive resources provided
  • Facility to test model
  • Includes Legal section
  • Creates custom vision apps
  • Application in smart homes
  • Real-time accuracy visualization
  • Comprehensive usage guide
  • Bring utility to cameras
  • Available for iOS
  • Training models with a tap
  • Uses camera for productivity
  • Application in retail
  • Initial version already released
  • Gathers specific dataset samples
  • Community for collaboration
  • User-friendly UI
  • Mobile machine learning toolkit
  • Label and manage models
  • Teaches apps to 'see'
  • Discord community link
  • Custom dataset based on expertise

Cons

  • Requires manual data labeling
  • Real-time accuracy may change
  • One tap might label incorrectly
  • May have privacy issues
  • No information on API Integration
  • Only for iOS
  • Limited control over algorithm updates
  • Users need to share data
  • Needs a good smartphone camera

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