Abstract
Object recognition on web pages is the process of automatic detection and classification of objects on website images. The work analyzes the methods of recognition of objects on digital images for segmentation of websites for further analysis. Based on the analysis of the methods of recognition of objects on the images of web pages, it is concluded that deep learning methods can be very effective for recognizing objects with a lot of data, but they may require significant computing resources and data for training. Geometric functions can be effective for recognizing objects with standardized shapes and sizes, but they can be less effective for recognizing objects with high variability in forms and sizes. The choice of object recognition method on the images of websites depends on various factors, such as the size of the data set, the characteristics of the identified objects, computing resources available for use, and many other factors.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International scientific and technical conference Information technologies in metallurgy and machine building
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
