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

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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Bibliografiska uppgifter
Huvudupphovsman: Yao, Shaw Jie A. (Författare, medförfattare)
Övriga upphovsmän: Yusiong, John Paul T. (adviser.)
Materialtyp: Lärdomsprov
Språk:English
Ämnen:
Deep learning.