Our project is able to detect the objects whether it be the image, video or real time camera access. Fast and accurate object detection being our main focus, we were able to achieve it …

In object-class detection, the task is to find the locations and sizes of all objects in an image that belong to a given class. The project titled ‘Face Detection and Recognition System’, is to …

In this study, we have devised a method to assist visually impaired people in detecting objects in their environment. We have proposed to create a web application that would detect the objects …

real-time YOLO-based object detection framework using OpenCV demonstrates the potential for accurate and efficient object detection in real-world scenarios, contributing to advancements in …

Aug 10, 2020 · Our aim is to classify objects using different image processing algorithms on the parameters like colour, shape and texture. The input for the system will be a video, which will …

Deep learning-based object detection techniques, such as region-based CNNs (R-CNN), You Only Look Once (YOLO), and Single Shot MultiBox Detector (SSD), have become state-of-the …

The model is trained to detect objects in real-time. This can be best achieved through a universal and open source library-TensorFlow (TF). Within the TF environment, multiple algorithms can …

Object detection methods aim to identify all target objects in the target image and determine the categories and position information in order to achieve machine vision understanding.

YOLOv3 (You Only Look Once, Version 3) is a real-time object detection algorithm that identifies specific objects in videos, live feeds, or images. YOLO uses features learned by a deep …