Deep learned features.

<div><p>Efficient image retrieval from a variety of datasets is crucial in today's digital world. Visual properties are represented using primitive image signatures in Content Based Image Retrieval (CBIR). Feature vectors are employed to classify images into predefined categories. T...

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Bibliographic Details
Main Author:	Aiza Shabir (20896271) (author)
Other Authors:	Khawaja Tehseen Ahmed (20896274) (author), Arif Mahmood (15871190) (author), Helena Garay (20896277) (author), Luis Eduardo Prado González (20896280) (author), Imran Ashraf (7370771) (author)
Published:	2025
Subjects:	Biotechnology Space Science Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified scale space interpolation locate interest points define interest points convolutional neural networks mean average precision discriminating &# 160 computing productive sum combining color features average retrieval precision categories including shape &# 160 predefined categories including alot retrieval systems retrieval system effective retrieval tropical fruits research presents pixel derivatives object information multilevel fusion information synthesis feature vectors extensive experimentation digital world corner scores complicated objects cnns ). classify images cbir ).
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Deep learned features.

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