GroceryNet grocery product image analysis using multicolor dual-input parallel CNN for simultaneous semantic segmentation and classification

This research explores the application of deep learning techniques for grocery item image segmentation and classification, with multicolor dual-inputs such as RGB with XYZ, XYZ with LAB, and so on in parallel CNNs: Wherein, the U-Net model variation of the CNN comes into the picture to employ these...

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Dettagli Bibliografici

Autore principale:	Yao, Shaw Jie A. (Autore)
Altri autori:	Yusiong, John Paul T. (adviser.)
Natura:	Tesi
Lingua:	English
Soggetti:	Deep learning.