This Python code implements real-time object detection using the Single Shot MultiBox Detector (SSD) MobileNet v3 model and OpenCV. It can identify and visualize objects from a predefined set of ...

Deployed the MobileNet-SSD v2 algorithm, trained on the COCO dataset, to detect objects in a live video feed. The general idea of object detection using SSD-MobileNet implemented using OpenCV is to ...

"While previously ML.NET offered the ability to consume pre-trained TensorFlow and ONNX models for object detection via the ML.NET API, you can now use Model Builder in Visual Studio to train custom ...

Deep neural networks (DNNs) play a crucial role in image classification and object detection, with applications in autonomous driving, security, Unmanned Aerial Vehicle (UAV) navigation, and robotics.

The remote sensing image object detection has advanced significantly; yet, small object detection remains challenging due to their limited size and varying scales. Furthermore, real-world deployment ...