Analyzing the Impact of CLAHE parameter Variations on Different YOLO Models on the dataset without Augmentation.

Analyzing the Impact of CLAHE parameter Variations on Different YOLO Models on the dataset without Augmentation.

<p>Analyzing the Impact of CLAHE parameter Variations on Different YOLO Models on the dataset without Augmentation.</p>

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Bibliographic Details
Main Author:	Persiya J. (21743388) (author)
Other Authors:	Sasithradevi A (21743391) (author)
Published:	2025
Subjects:	Biotechnology Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified subjective quality measures improve image clarity detected eye regions enhanced images achieved accurate eye detection investigate various super image processing techniques advanced yolo models eye detection yolo models thermal images advanced super work demonstrates work addresses unique dataset thermal data synergistic fusion proposed pipeline often hindered multifaceted approach integrated pipeline inherent limitations including biometrics first introduce experiments reveal evaluated using driver monitoring diverse applications deep learning computer interaction 801 ),
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Summary:	<p>Analyzing the Impact of CLAHE parameter Variations on Different YOLO Models on the dataset without Augmentation.</p>

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