A Framework for Predicting Image Recognition using the JSAAN Teachable Machine.

Jobeda Khatun; Sahanaj Parvin; Abantika Ghosh; Aritra Ganguly; Nilkanto Das

A Framework for Predicting Image Recognition using the JSAAN Teachable Machine.

Authors: Jobeda Khatun, Sahanaj Parvin, Abantika Ghosh, Aritra Ganguly, Nilkanto Das

Unique Paper ID: 179539
Volume: 11
Issue: 12
PageNo: 6938-6939

Keywords: Applications of artificial intelligence machine learning teachable machines image recognition and prediction models

Abstract:
Image identification is a key component of today's artificial intelligence applications, which significantly affect sectors including healthcare, retail, and security. In this study, Google's JSAAN Teachable Machine is used to create a predictive model for image recognition. The article provides instructions for creating a model for photo identification, outlines the core concepts of the Teachable Machine, and assesses the model's performance on prediction tests. We show experimental results based on a generated dataset and evaluate the model's accuracy, utility, and real-world applicability.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 12
PageNo: 6938-6939

A Framework for Predicting Image Recognition using the JSAAN Teachable Machine.

Available:https://ijirt.org/Article?manuscript=179539

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