A real-world framework for automated product recognition and catalog generation: dataset, model, and analysis

Abstract The identification and management of grocery items in retail environments have traditionally relied on barcode-based systems, which require significant human intervention and underutilize existing surveillance infrastructure. Computer vision–based approaches offer a promising alternative fo...

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Bibliografiske detaljer

Principais autores:	Mayank Sah, Jimson Mathew, P. Dayananda
Format:	Artigo
Sprog:	Inglês
Udgivet:	Nature Portfolio 2026-05-01
Serier:	Scientific Reports
Fag:	Grocery Identification Deep Neural Network Object Recognition Dataset Omni-Scale features Lightweight model
Online adgang:	https://doi.org/10.1038/s41598-026-42266-9
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