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Datasets and methods of product recognition on grocery shelf images using computer vision and machine learning approaches: An exhaustive literature review
A product recognition system recognizes all products on the shelf images and determines
their positions. A business equipped with an automatic product recognition system has a …
their positions. A business equipped with an automatic product recognition system has a …
Fine-grained image analysis with deep learning: A survey
Fine-grained image analysis (FGIA) is a longstanding and fundamental problem in computer
vision and pattern recognition, and underpins a diverse set of real-world applications. The …
vision and pattern recognition, and underpins a diverse set of real-world applications. The …
Deep learning in barcode recognition: A systematic literature review
The use of deep learning (DL) for barcode recognition and analysis has achieved
remarkable success and has attracted great attention in various domains. Unlike other …
remarkable success and has attracted great attention in various domains. Unlike other …
[HTML][HTML] Technology roadmap of AI applications in the retail industry
HP Lu, HL Cheng, JC Tzou, CS Chen - Technological Forecasting and …, 2023 - Elsevier
New retail, an online-merge-offline system with artificial intelligence (AI) applications,
became popular after the COVID-19 pandemic. This research introduces a novel technology …
became popular after the COVID-19 pandemic. This research introduces a novel technology …
[HTML][HTML] Enhanced self-checkout system for retail based on improved YOLOv10
With the rapid advancement of deep learning technologies, computer vision has shown
immense potential in retail automation. This paper presents a novel self-checkout system for …
immense potential in retail automation. This paper presents a novel self-checkout system for …
[PDF][PDF] Personalized recognition system in online shop** by using deep learning
MD Venkata, P Donda, NB Madhavi… - … on Internet of …, 2024 - pdfs.semanticscholar.org
This study presents an effective monitoring system to watch the Buying Experience across
multiple shop interactions based on the refinement of the information derived from …
multiple shop interactions based on the refinement of the information derived from …
Brain-gcn-net: Graph-convolutional neural network for brain tumor identification
Background: The intersection of artificial intelligence and medical image analysis has
ushered in a new era of innovation and changed the landscape of brain tumor detection and …
ushered in a new era of innovation and changed the landscape of brain tumor detection and …
An accurate generation of image captions for blind people using extended convolutional atom neural network
T Tiwary, RP Mahapatra - Multimedia Tools and Applications, 2023 - Springer
Recently, the progress on image understanding and AIC (Automatic Image Captioning) has
attracted lots of researchers to make use of AI (Artificial Intelligence) models to assist the …
attracted lots of researchers to make use of AI (Artificial Intelligence) models to assist the …
Mep-3m: A large-scale multi-modal e-commerce product dataset
The product categories are vital for the E-commerce platforms due to the core applications
on automatic product category assignment, personalized product recommendations, etc. In …
on automatic product category assignment, personalized product recommendations, etc. In …
A benchmark for multi-class object counting and size estimation using deep convolutional neural networks
Automatic object counting and object size estimation in digital images can be very useful in
many real-world applications such as surveillance, smart farming, intelligent traffic systems …
many real-world applications such as surveillance, smart farming, intelligent traffic systems …