YOLO Algorithm (Yolov2 model) trained on COCO Dataset for Object Detection
YOLO is a state-of-the-art, real-time object detection algorithm. In this notebook, I had applied the YOLO algorithm to detect objects in images ,videos and webcam
A proposed indoor navigation system for the visually impaired based upon computer vision.
The repository contains an implementation of the Yolo object detection model along with voice and text feedback.
Application pour la detection et reconnaissance des objets dans une image donnée (Java, JavaFX, OpenCV, YOLO)
Implementation of YOLO algorithm for detecting objects in image.
this repository contains codes for deep neural network, convolutional neural network, recurrent neural network scratch implementations and their real world applications
this is the official repository for the #nofakes project provided by the University of Warwick AI society
Summary of my presentation about Object Detection using the YOLO Algorithm at the Seminar: Artificial Intelligence - Autonomous Vehicles at FU Berlin
Finger-worn device to assist children and individuals with Dyslexia in Reading and Object Recognition.
Course on how to build your own Detector based on YOLO version 3 algorithm
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