This project implements an object detection system using the YOLOv3 pre-trained model. The goal is to localize and classify objects within an image or through a real-time video feed using the power of ...

The system's performance is evaluated using standard metrics such as accuracy, precision, recall, and F1-score. This project provides a comprehensive solution for real-time object detection, ...

In this paper, we provide object detection frameworks using TensorFlow Object Detection API which will detect and recognize the object and after the recognization, it will store the recognized object ...

Modern-day CV tools can easily implement object detection on images or even on live stream videos. In this article, we will look at a simple demonstration of a real-time object detector using ...

This object detection is the already known and introduced technology that performs the program using computer technology as the platform ... which was proposed in Python and C++ and raises the problem ...

Handling collision detection is a fundamental aspect of game development, particularly in Python ... object. You check for collisions by determining if these boxes overlap. This can be done using ...