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This project focuses on real-time object detection and tracking, using advanced computer vision techniques to detect, identify, and monitor objects from a live video feed. It also measures system ...
This repository contains a real-time object detection application that uses the OmDet-Turbo model, designed for open-vocabulary, zero-shot object detection. The model allows detecting objects in video ...
In this post, we’ll dive into the innovations that make YOLOv9 a new state-of-the-art for real-time object detection. A Quick Primer on Object Detection. Before getting into what's new with YOLOv9, ...
<P>Real time face detection images has received growing attention recently. Recognition of other objects, such as cars, is also important. Applications are similar and content based real time image ...
Real-time Object Detection with Deep Learning for Robot Vision on Mixed Reality Device - IEEE Xplore
Mixed reality device sensing capabilities are valuable for robots, for example, the inertial measurement unit (IMU) sensor and time-of-flight (TOF) depth sensor can support the robot in navigating its ...
Image classification is very useful for many applications. For example, ... (You Only Look Once) use single-shot detection to provide near real-time object detection.
Real Time object detection is a technique of detecting objects from video, there are many proposed network architecture that has been published over the years like we discussed EfficientDet in our ...
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