Deep learning|based real|world object detection and improved ...

Deep learning-based real-world object detection and improved ...

This can be achieved when computer vision is connected with optimized deep learning models and neural networks. The goal of this project is to build an ...

Deep learning-based real-world object detection and improved ...

Semantic Scholar extracted view of "Deep learning-based real-world object detection and improved anomaly detection for surveillance videos" by Ragedhaksha ...

A comprehensive survey of deep learning-based lightweight object ...

Deep models typically improve performance, but the deployment of real-world applications onto edge devices is constrained by their resource- ...

Object Detection with Deep Learning: A Review - arXiv

with better results than other real-time detectors. Furthermore,. YOLO ... the image-level knowledge to the real world. However, seldom of these 3D ...

Deep Learning for Computer Vision: Models & Real World ... - OpenCV

Its ability to perform object detection in real-time, accurately ... PyTorch is an open source machine learning (ML) framework based on the Python ...

Real-time Object Detection using Deep Learning for helping People ...

Nowadays, Deep Neural Networks (DNN) have become the state-of-the-art solution for object detection tasks, with many works improving speed and accuracy by ...

Object Detection: The Definitive 2025 Guide - viso.ai

In general, deep learning-based object detectors extract features from the input image or video frame. An object detector solves two subsequent ...

Performance analysis of deep learning-based object detection ...

When using the COCO benchmark, researchers and developers can leverage these metrics to refine their models and optimize them for real-world ...

An improved deep learning-based optimal object detection system ...

... Detector (SSD). 2. The object detection algorithms are performed over publicly available real-world datasets. 3. The performance of the ...

(PDF) Research advanced in object detection based on deep learning

Rapid development in convolutional neural networks has accelerated the development of object identification systems based on deep learning.

Real Time Object Detection using Deep Learning

You Only. Look Once (YOLO) and Faster R-CNN (Region-based. Convolutional Neural Network), two well-known deep learning architectures, are the foundation of our.

Introduction to object detection with deep learning | SuperAnnotate

The evolution of object detection has been a captivating journey, reflecting the broader shifts in the world of AI. In its early stages, object ...

YOLO Object Detection Explained: A Beginner's Guide | DataCamp

The next step of this article will be the application of the YOLO algorithm to real-world cases. Until then, our Introduction to Deep Learning in Python course ...

Preprocessing via Deep Learning for Enhancing Real-Time ...

Deep learning models have significantly improved object detection essential for traffic monitoring. However, these models' increasing complexity results in ...

Deep Learning-Based Object Detection, Localisation and Tracking ...

This paper deals with the development of an Advanced Driver Assistance System (ADAS) for a smart electric wheelchair in order to improve the autonomy of ...

Deep Learning-Based Real-Time Multiple-Object Detection ... - MDPI

The deep drone project used a Jetson GPU and faster R-CNN to detect and track objects [12]. In our study, we used Jetson AGX Xavier for better performance. A ...

Deep learning for real-world object detection - [email protected]

... improvement on real-world utility. Keywords. Deep Learning, Deep Convolutional Neural Networks, Object Detection. Degree Awarded. PhD in ...

Object detection with deep learning and OpenCV - PyImageSearch

... real-world detection tasks. Roboflow has free tools for each stage ... objects in the image via deep learning-based object detection.

YOLO Algorithm for Object Detection Explained [+Examples] - V7 Labs

... detectors and two-stage detectors. One of the earliest successful attempts to address the object detection problem using deep learning was ...

Need advice for object detection and motion classification on real ...

or is there any better method for real-time detection and motion classification. machine-learning · computer-vision · artificial-intelligence ...