Model for Predicting Image Recognition Using NCDR Teachable Machine

Nilima Dey; Chowdhury Imran; Disha Seth; Rokeya Khatun

Model for Predicting Image Recognition Using NCDR Teachable Machine

Authors: Nilima Dey, Chowdhury Imran, Disha Seth, Rokeya Khatun

Unique Paper ID: 171701
Volume: 11
Issue: 8
PageNo: 814-815

Keywords: Image recognition Teachable Machine prediction model machine learning AI applications.

Abstract:
Image recognition has become a crucial part of modern AI applications due to its impact on industries including healthcare, retail, and security. In this project, Google's NCDR Teachable Machine is used to create a prediction model for picture recognition. The article outlines the fundamental concepts of the Teachable Machine, explains how to construct an image recognition model, and evaluates its performance in prediction tasks. We show experimental results on a generated dataset and analyze the model's accuracy, usefulness, and potential for real-world applications.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 8
PageNo: 814-815

Model for Predicting Image Recognition Using NCDR Teachable Machine

Available:https://ijirt.org/Article?manuscript=171701

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Journal no 47859

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