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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| Formato: | Thesis |
| Idioma: | inglés |
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