A Framework for Predicting Image Recognition with the MTLSA Teachable Machine.

Masud Chowdhuri; Taniya Bandhu; Lisa Pramanick; Swastika Jash; Asman Ali SK

A Framework for Predicting Image Recognition with the MTLSA Teachable Machine.

Authors: Masud Chowdhuri, Taniya Bandhu, Lisa Pramanick, Swastika Jash, Asman Ali SK

Unique Paper ID: 179474
Volume: 11
Issue: 12
PageNo: 8173-8174

Keywords: AI applications machine learning prediction models teachable machines and image recognition

Abstract:
Image identification is a key component of today's artificial intelligence applications, which significantly affect sectors including healthcare, retail, and security. This project uses Google's ARSAK Teachable Machine to create a predictive model for image recognition. The article describes the core concepts of the Teachable Machine, provides guidance on creating a photo recognition model, and assesses the model's performance in prediction tasks. We show experimental results based on a generated dataset and evaluate the model's accuracy, practicality, and potential for use in real-world scenarios.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 12
PageNo: 8173-8174

A Framework for Predicting Image Recognition with the MTLSA Teachable Machine.

Available:https://ijirt.org/Article?manuscript=179474

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