Detecting objects remains one of computer vision and image understanding applications’ most fundamental and challenging aspects. Significant advances in object.

Jul 23, 2025 · Deep learning is used by architectures like SSD (Single Shot MultiBox Detector), YOLO (You Only Look Once), and Faster R-CNN to achieve remarkable performance by striking a balance …

Jun 23, 2025 · In this blog, you’ll learn how object detection works, explore the main deep learning techniques and models, discover practical use cases, and understand the challenges faced in …

Dec 1, 2025 · This study presents a comprehensive analysis of object detection methodologies, encompassing traditional approaches, deep learning-based techniques, and their subcategories, …

Object detection using deep learning provides a fast and accurate means to predict the location of an object in an image. Deep learning is a powerful machine learning technique in which the object …

cted much research attention in recent years. Traditional object detection methods are built on handcrafted features and shallow trainable architectures. Their performance easily stagna.

Sep 29, 2023 · Object detection is a profound computer vision technique that identifies and labels objects within images, videos, and even live footage. Models that perform object detection are …

May 17, 2023 · With this comprehensive step-by-step guide, learn how to implement object detection using deep learning. From annotating your dataset to training and evaluating your model, we cover …

Sep 10, 2025 · In an era where machines are becoming increasingly adept at interpreting visual information, object detection using deep learning has emerged as a groundbreaking advancement.

Sep 8, 2025 · Advancements in object representation and deep neural network models have led to significant progress being made in object detection more effective. In this literature review, we …