The study used Python and open-source libraries to integrate detection models with OpenAI’s GPT-4 via an API key. Initially, models identified trained objects, which were then linked to GPT-4. A good ...

Abstract: We propose a novel general strategy for object detection. Instead of passively evaluating all object detectors at all possible locations in an image, we develop a divide-and-conquer approach ...

Al-Go is a thesis project by ECE students Balla, Saavedra, and Tejano focused on intelligent traffic monitoring. Pedestrian.py detects and tracks pedestrians and PWDs using a trained model and ...

TOKYO, May 19, 2025 /PRNewswire/ -- Synspective Inc., a provider of Synthetic Aperture Radar (SAR) satellite data and analytics solutions, is pleased to announce the launch of its Object Detection and ...

Abstract: Multiple object tracking (MOT) is a problem with widespread applications in real-world tracking scenarios. In this context, object detection plays a crucial role in the performance of MOT.

2020) is also introduced to improve the detection accuracy of small objects. It is realized by the following method. First, the top-level features are up-sampled and merged with the lower-level ...