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Abstract: The problem of object recognition has not yet been solved in its general form. The most successful approach to it so far relies on object models obtained by training a statistical method on ...
Cai, Y. , Hu, J. , Zhu, J. and Zhu, J. (2025) A Multi-Dimensional Analysis and Governance Study of Online Public Opinion after the Enactment of China’s “Preschool Education Law” —Based on Python ...
YOLOv12 Underwater Object Detection is an open-source suite for underwater object detection, built on YOLOv12. It offers an end-to-end pipeline with GPU-accelerated training, customizable data ...
The automatic recognition of 3D objects with "uncooperative" surfaces is a difficult and slow process. The Fraunhofer IOF has a solution. The Fraunhofer Institute for Applied Optics and Precision ...
To address the above-mentioned challenges in HRI we present an adaptable python library in which current state-of-the-art Models for context recognition can be integrated. For Context-Based Intention ...
When an object enters a predefined safety zone, the system can immediately trigger warnings or even engage emergency braking — enhancing both awareness and response time. Of course, object recognition ...
Scrapling is a high-performance, intelligent web scraping library for Python that automatically adapts to website ... with more methods and returns the entire element's Adaptor object, not only text ...
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