A Structure for Image Recognition Prediction Using the SASSND Teachable Machine.

Sarupa Seth; Anisur Rahaman Seikh; Soumya Das; Sadik Hossain Mondal; Nasim SK; Debanshu Kar

A Structure for Image Recognition Prediction Using the SASSND Teachable Machine.

Authors: Sarupa Seth, Anisur Rahaman Seikh, Soumya Das, Sadik Hossain Mondal, Nasim SK, Debanshu Kar

Unique Paper ID: 179487
Volume: 11
Issue: 12
PageNo: 8185-8186

Keywords: Image recognition teachable machines machine learning prediction models and artificial intelligence applications

Abstract:
Today's artificial intelligence applications, which have a big impact on industries like healthcare, retail, and security, depend heavily on image identification. In this research, a predictive model for picture recognition is developed using Google's SASSND Teachable Machine. The article explains the fundamental ideas of the Teachable Machine, offers instructions for building a model for photo identification, and evaluates how well the model performs on prediction tests. We assess the model's accuracy, usefulness, and potential for use in real-world situations while presenting experimental findings based on a produced dataset.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 12
PageNo: 8185-8186

A Structure for Image Recognition Prediction Using the SASSND Teachable Machine.

Available:https://ijirt.org/Article?manuscript=179487

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