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Home AI Developer Tools MagicaLCore

MagicaLCore

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Introduction: Added on: Monthly Visitors:
Code-free iPad app for creating and training machine learning image classifiers. Jun-26 2025
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MagicaLCore
Product Information

What is MagicaLCore?

MagicaLCore is an iPad application designed to enable users to create image classifiers and work with machine learning models without requiring any code. It allows for training models using personal photos, instant testing, and exporting them for integration into other applications or workflows. Optimized for mobile machine learning exploration, MagicaLCore provides a comprehensive environment for developing and experimenting with machine learning models directly on an iPad, covering everything from model import and organization to training and live testing. It is specifically designed for users working with artificial intelligence.

How to use MagicaLCore?

To use MagicaLCore, users can import and organize their machine learning models. They can then train custom models on compatible iPads (those with Apple Silicon M-series or A16 chips) using their own photos. The app facilitates real-time predictions using the iPad's camera or imported images, with easy visualization of results. Models can be tested instantly and exported for use in other applications, providing a complete workflow within a single app.

MagicaLCore's Core Features

Code-free image classifier creation

Training machine learning models with custom photos

Instant model testing and real-time predictions (camera/images)

Exporting models for use in other apps/workflows

Importing and organizing machine learning models

Local ML model training on iPads with Apple Silicon (M-series) chips

Visual editor for model management

Model statistics and metrics

MagicaLCore's Use Cases

Developing and experimenting with machine learning models directly on an iPad.

Creating custom image classifiers for personal projects or app integration.

Performing real-time object recognition or classification using the iPad's camera.

Testing machine learning models with various image>

Streamlining the machine learning workflow for non-programmers.

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