FieldDay is an AI tool that enables anyone to create custom vision AI applications. With the camera as a platform for productivity, users can collect a dataset specific to their expertise and refine the algorithm through iterations.

It provides a mobile machine learning toolkit, allowing users to develop and embed custom AI apps into their preferred tools using only their smartphones.FieldDay empowers users to bring utility to their cameras by teaching their apps to "see." By gathering samples of what they want their AI to detect, they can easily create custom AI models with a simple tap of a button, requiring just a few minutes.

Users can test the accuracy of their AI in real-time by visualizing the results.One of the key features of FieldDay is the ability to train models to identify multiple objects within a scene.

This tool also offers functionality to label, manage, and push different model iterations. It aims to simplify the process of building custom AI models, allowing users to get started quickly.FieldDay has recently released its initial version for iOS and is available for download on the App Store.

It provides valuable resources such as a comprehensive guide on how it works, pricing details, a legal section, and a community to collaborate and learn from other users.

Visit website

Save

Featured

Apps FieldDay No ratings

Overview Reviews Alternatives Jobs Pros & Cons Q&A See also

Visit website

Save

Feature requests

Are you looking for a specific feature that's not present in FieldDay?

💡 Request a feature

FieldDay was manually vetted by our editorial team and was first featured on August 4th 2023.

Promote this AI Claim this AI

Supermoon

Customer support

Simplify customer support with the power of AI.

★★★★★

★★★★★
(10)48

Free + from $8/mo
Share

Archie AI

Product development

Transform your idea into actionable specifications, designs and architectural plans with our AI-driven tools

★★★★★

★★★★★
(3)128

Free + Paid Advanced...
Share

PrometAI

Business plans

Turn ideas into viable reality with AI business plan generator.

★★★★★

★★★★★
(3)165
4

Free + from $29/mo
Share

152 alternatives to FieldDay for Apps

Most impacted jobs

Application Developer

Pros and Cons

Pros

Creates custom vision apps

Uses camera for productivity

Mobile machine learning toolkit

Teaches apps to 'see'

Real-time accuracy visualization

Identifies multiple objects

Label and manage models

Push model iterations

Available for iOS

Comprehensive usage guide

Community for collaboration

Gathers specific dataset samples

Training models with a tap

Rapid model creation

Initial version already released

Includes Pricing details

Includes Legal section

User-friendly UI

Application in smart homes

Application in retail

Custom dataset based on expertise

Perfection of algorithm through iteration

Facility to test model

Extensive resources provided

Easy-to-use for non-coders

Bring utility to cameras

Discord community link

Cons

Only available on iOS

Potential for privacy concerns

Data collection reliant on users

Limited algorithm refinement control

Requires able smartphone camera

Manual data labelling needed

Real-time accuracy might vary

Single tap might miss-label

No mention of API Integration

Q&A

What is FieldDay?

FieldDay is an AI tool that enables users to create custom vision AI applications. It provides a mobile machine learning toolkit that allows users to develop and integrate custom AI apps into their preferred tools using just their smartphones.

How does FieldDay work?

FieldDay works by empowering its users to develop custom vision AI apps. Users gather samples of what they want their AI apps to detect, creating custom models through a simple tap of a button. It refines the algorithm through iterations, allowing users to improve the functionality of their AI over time.

What is the purpose of FieldDay?

The purpose of FieldDay is to make AI and machine learning accessible to everyone. It allows users to turn their expertise into custom data sets and perfect the algorithm through iterations. This empowers users to transform their cameras into platforms for productivity by teaching their apps to 'see'.

How do you create custom vision AI apps with FieldDay?

With FieldDay, users can create custom vision AI apps by collecting samples of what they want their AI to detect, and then they train these models with just a tap of a button. Users can refine these models over time, improving their effectiveness and accuracy.

How can FieldDay be used to train models to identify multiple objects?

FieldDay helps users train models to identify multiple objects within a scene by letting them gather varied samples and then training the model on these datasets. By iterating and refining the model over time, users can improve its ability to recognize and differentiate multiple objects.

What are the main functionalities of FieldDay?

The main functionalities of FieldDay are the ability to create custom AI models, collect specific datasets, refine algorithms, label, manage and push different model iterations. It also has capabilities to test the accuracy of AI in real-time and visualize results. Moreover, it allows users to train models to identify multiple objects within a scene.

How long does it take to create custom AI models using FieldDay?

Creating a custom AI model with FieldDay takes just a few minutes. Users simply need to gather samples of what they want their AI to detect, use their camera to teach the app, and then create their model with a tap of a button.

How does FieldDay refine the algorithm through iterations?

FieldDay refines the algorithm through iterations by allowing users to collect specific datasets and then refine their AI models over time based on their unique requirements and the feedback from the AI's performance.

Does FieldDay allow testing of the AI accuracy in real-time?

Yes, FieldDay does allow users to test the accuracy of their AI in real-time. It provides a feature for visualizing the results of the AI in action, enabling users to assess its performance and accuracy.

Who can use FieldDay?

FieldDay is intended for anyone who wishes to create custom vision AI apps. It requires no specialized coding or machine learning knowledge, making it accessible to a broad range of users, including developers, creators, retailers, and homeowners.

Is FieldDay available for Android?

IDK

Is there any community for FieldDay users?

Yes, there is a community for FieldDay users. This community provides a platform for users to collaborate and learn from each other, share experiences, and help improve the overall use and functionality of the platform.

What resources does FieldDay provide?

FieldDay provides valuable resources such as a comprehensive guide on how it works, detailed pricing information, and a legal section. It also offers access to a community of users for collaboration and learning.

How does FieldDay allow usage of the camera for AI apps?

FieldDay enables users' cameras to be used for AI apps by allowing them to gather samples of what they want their AI to recognize. The camera functions as a tool for data collection, forming the basis of the custom vision AI models that the users create.

Does FieldDay offer any guide on how to use it?

Yes, FieldDay offers a comprehensive guide on how it works. The guide aims to help users understand the process of creating custom vision AI apps, refining them over time, and getting the most out of the FieldDay platform.

What is the mobile machine learning toolkit in FieldDay?

The mobile machine learning toolkit in FieldDay is its core feature that lets users develop and embed custom AI apps into their preferred tools using just their smartphones. This toolkit simplifies the process of creating, refining, and managing AI models.

Where can I find the pricing details of FieldDay?

The pricing details of FieldDay can be found on their website. FieldDay provides detailed information about its pricing structure and the costs associated with using its platform and services.

How do you manage AI model iterations in FieldDay?

With FieldDay, AI model iterations can be managed efficiently by labeling each iteration and then pushing your models according to your specific needs. The system offers functionality to manage and push different model iterations effectively.

How can I label my AI models in FieldDay?

In FieldDay, you can label your AI models during the creation process. This helps in managing and identifying various versions and iterations of your models as you refine and improve them over time.

Can FieldDay enable my apps to 'see'?

Yes, FieldDay can enable your apps to 'see' by empowering you to create custom vision AI models. You simply gather samples of what you want the AI app to detect, and then with a tap, you can create a model that can recognize these objects in real time.