This repository presents a complete end-to-end object detection pipeline trained entirely from scratch (without using any pretrained weights), developed as part of a Computer Vision Engineer ...

What if you could teach a computer to recognize a zebra without ever showing it one? Imagine a world where object detection isn’t bound by the limits of endless training data or high-powered hardware.

The Golden State Warriors held a 22-23 record on January 26th, as playoff basketball in the Bay Area looked like a stretch at the time. Then, on February 5th, Golden State made a massive move to trade ...

Real-time object detection is a critical capability in computer vision, enabling systems to identify and localize objects instantly in dynamic environments. Recent advances leverage optimized ...

A real-time object detection system using a Tello drone and OpenCV. This project enables autonomous object detection and tracking using a pre-trained SSD MobileNet V3 model.

Abstract: Object detection forms an important area of research where the efforts are still being put forth to improve the accuracy of detection. Several approaches have been made which also include ...

Abstract: Traditional methods in machine learning for detecting traffic lights and classification are replaced by the recent enhancements of deep learning object detection methods by success of ...