Betect

Train your own neural networks

Published by: Advanced Kernels

Description

Betect allows you to perform fine-grain image detection with neural patches. Download and plugin patches that are custom trained for different identification tasks.
And you can experiment with creating your own targeted neural patches on a desktop machine. Transfer them to the app as a plugin file (see developer's website for details of this).
Hide Show More...

Screenshots

Betect FAQ

  • Is Betect free?

    Yes, Betect is completely free and it doesn't have any in-app purchases or subscriptions.

  • Is Betect legit?

    Not enough reviews to make a reliable assessment. The app needs more user feedback.

    Thanks for the vote

  • How much does Betect cost?

    Betect is free.

  • What is Betect revenue?

    To get estimated revenue of Betect app and other AppStore insights you can sign up to AppTail Mobile Analytics Platform.

User Rating
App is not rated in Türkiye yet.
Ratings History

Betect Reviews

No Reviews in Türkiye
App doesn't have any reviews in Türkiye yet.

Store Rankings

Ranking History
App Ranking History not available yet
Category Rankings
App is not ranked yet

Betect Competitors

Name
Turing Machine Simulator
AI on Thumbs
Learn AI with just your thumbs
Artificial Intelligence Guide
Learn Deep Learning in Python
Master AI Machine Learning PRO
ML AI Basics AWS Azure GCP PRO
NKS Explorer 2022
VDC Bim Academy
neural networks for prime
neural networks for everyone!
neural networks for XOR
neural networks for everyone!
NetTrainer

Betect Installs

Last 30 days

Betect Revenue

Last 30 days

Betect Revenue and Downloads

Gain valuable insights into Betect performance with our analytics.
Sign up now to access downloads, revenue, and more.
This page includes copyrighted content from third parties, shared solely for commentary and research in accordance with fair use under applicable copyright laws. All trademarks, including product, service, and company names or logos, remain the property of their respective owners. Their use here falls under nominative fair use as outlined by trademark laws and does not suggest any affiliation with or endorsement by the trademark holders.