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

Aditi Rej; Rupsha Sekh; Sayan Hazra; Avijit Kaibartya; Kartick Das

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

Authors: Aditi Rej, Rupsha Sekh, Sayan Hazra, Avijit Kaibartya, Kartick Das

Unique Paper ID: 179468
Volume: 11
Issue: 12
PageNo: 8171-8172

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

Abstract:
Today's artificial intelligence applications depend heavily on image identification, which has a big impact on industries like healthcare, retail, and security. This project builds a predictive model for picture identification using Google's ARSAK Teachable Machine. The article outlines the fundamental ideas of the Teachable Machine, offers advice on building a model for picture recognition, and evaluates how well it performs in prediction challenges. We analyze the model's correctness, usefulness, and potential for use in real-world situations while presenting experimental results based on a produced dataset.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 12
PageNo: 8171-8172

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

Available:https://ijirt.org/Article?manuscript=179468

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