OBJECT DETECTION PROJECT Smartvision:Object detection with python and ai. This project demonstrates object detection using the MobileNet-SSD model, a pre-trained deep learning model capable of ...

The steps below assume we want to use tiny YOLO and our dataset has 3 classes. Create a copy of the configuration file tiny-yolo-voc.cfg and rename it according to your preference tiny-yolo-voc-3c.cfg ...

There is no denying the fact that Object Detection is also one of the coolest applications of Computer Vision. Modern-day CV tools can easily implement object detection on images or even on live ...

The paper has covered topics ranging from how artificial intelligence and machine learning algorithms help in object detection to how OpenCV is such a useful tool for beginners who wish to learn how ...

The study introduces a Python-based method for real-time object detection, utilizing deep learning architectures like Convolutional Neural Networks (CNNs) and Single Shot MultiBox Detector (SSD).

Pre-written Python examples in the Halo repository demonstrate object detection, counting, and zone-based tracking, which can be customized for specific use cases.