Machine Learning Environment - PictoBlox

PictoBlox provides a comprehensive Machine-Learning Environment for kids and beginners. PictoBlox offers 7 Machine Learning models, such as Image Classifier, Object Detection, Pose Classifier, Hand-Pose Classifier, Audio Classifier, Number Classification, Regression, and Text Classifier. Training ML models in PictoBlox is done in three steps – Collect the data, Train the model, and Test the model. It features a step-by-step guide and video tutorials that are suitable for all levels, allowing kids to start learning in either a block or Python coding environment. 

Getting Started with Machine Learning Environment in Block Coding!

These tutorials provide an introduction to working with Machine Learning (ML) models in PictoBlox with Block coding. With a stepbystep approach, users will learn how to create and use ML models in PictoBlox.

The tutorial demonstrates how to make ML models with Image Classifier in PictoBlox.
The tutorial demonstrates how to make custom object detection models in PictoBlox and use it in Block coding.
The tutorial demonstrates how to make ML models with Hand Pose Classifier in PictoBlox.
The tutorial demonstrates how to make ML models with Audio Classifier in PictoBlox.
The tutorial demonstrates how to make ML models with Number Classifiers in PictoBlox.
The tutorial demonstrates how to make ML models with Number Regression in Block Coding.

Getting Started with Machine Learning Environment in Python Coding!

These tutorials provide an introduction to working with Machine Learning (ML) models in PictoBlox with Python coding. With a stepbystep approach, users will learn how to create and use ML models in PictoBlox.

The tutorial demonstrates how to make ML models with Image Classifiers in PictoBlox and use them in Python Coding.
The tutorial demonstrates how to make custom object detection models in PictoBlox and use it in Python coding.
The tutorial demonstrates how to make ML models with Hand Pose Classifier in PictoBlox.
The tutorial demonstrates how to make ML models with Number Classifiers in Python Coding.
The tutorial demonstrates how to make ML models with Number Regression in Python Coding.

PictoBlox Extensions for ML Environments

Refer to the documentation of ML PictoBlox Extensions to understand how to use the blocks and functions.