In this paper, we propose a novel approach to commodity classification from surveillance
videos by utilizing logo data on trucks. Broadly, most logos can be classified as …

Signboards are important location landmarks that provide services to a local community.
Non-disabled people can easily understand the meaning of a signboard based on its …

The goal of the article is research of ways to improve the quality of neural networks object
detection. To achieve this goal we suggest to use synthetic image datasets. The algorithm of …

Deep learning is an important element of data science, which includes statistics and
predictive modeling. It is extremely beneficial to data scientists who are tasked with …

Logo detection in images is particularly challenging due to limited access to well-labelled
data. Many existing logo detection methods are not scalable to larger datasets due to …

En el contexto de la detección de imágenes con Deep Learning actual, el paradigma de
entrenamiento está cambiando. Esto se debe a que los logros recientes en detección, si …

Abstract Machine learning is widely used to extract meaningful information from video,
images, audio, text, and other multimedia data. Through a hierarchical structure, modern …

To know trend in any field for business application or ant kind of survey, whether in
entertainment, sports, academic, products, politics, etc., the best way is to consider social …

Although current augmented, virtual, and mixed reality (AR/VR/MR) systems are facing
advanced and immersive experience in the entertainment industry with countless media …