Getting Started with Hand Pose Classifier in Block Coding | PictoBlox Machine Learning Environment

The Hand Gesture Classifier of the PictoBlox Machine Learning Environment is used for classifying different hand poses into different classes. The model works by analyzing the position of your hand with the help of 21 data points. For this project, we’re going to make a “Beetle in the Maze” game with hand gesture control. Tutorial Link: https://ai.thestempedia.com/docs/pictoblox/machine-learning-environment/getting-started-with-hand-pose-classifier-in-block-coding/ Image Classifier Extension: https://ai.thestempedia.com/extension/pose-classifier/ Machine Learning (ML) Environment introduces seven new categories of training models in Block and Python coding. This feature is available only in the desktop version (6.0.0 or above) of PictoBlox. Hosted and Content By: Akshat Srivastava (AI and Data Science Researcher)