Betect
Train your own neural networks
Archived App (Last seen on 21 Mar 2025)
This is an archived listing of the app previously available on the App Store.Although the app is no longer distributed by Apple, you can still view its description, screenshots, version history, ratings, and metadata for reference.
About
This app enables users to perform detailed image detection using custom-trained neural patches. Users can download pre-made patches or create their own on a desktop and import them for various identification tasks.
What's New in Betect
1.49
July 30, 2023
Accuracy improvements. Adds ability to use neural patches that have different trigger list than their category list.
Developer apps
FAQ
What is Betect?
Betect is an application that allows you to perform fine-grain image detection using neural patches. You can download pre-trained patches or create your own for specific identification tasks.
How does Betect work?
The app utilizes a system of neural patches, which are custom-trained components for identifying specific objects or patterns within images. These patches can be downloaded or created by the user.
Can I create my own neural patches for Betect?
Yes, you can experiment with creating your own targeted neural patches on a desktop machine. These custom patches can then be transferred to the app as a plugin file.
What devices is Betect available on?
Betect is available for iPhone, iPad, and iPod devices, indicating compatibility with Apple's iOS ecosystem.
What is the age rating for Betect?
Betect has an age rating of 4+, making it suitable for a wide range of users, including younger individuals interested in technology.
How often is Betect updated?
The app was last updated on July 30, 2023, with version 1.49. This suggests a relatively active development cycle for the application.
Does Betect have ads?
No, Betect does not contain advertisements. As a free application, it provides an ad-free experience for users.
What is the user feedback on Betect?
Betect has received a perfect rating of 5.0 stars from one review, indicating very positive initial user sentiment.
