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 …

Dec 1, 2025 · This review paper starts with a quick overview of object detection followed by traditional and deep learning models for object detection. The section on deep learning models provides a …

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 …

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 …

Sep 29, 2023 · As we traverse this narrative, we will explore the transformation from the humble beginnings of hand-tuned feature extraction methods to the groundbreaking deep learning …

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

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 …

Oct 4, 2024 · Object detection is a key field in artificial intelligence, allowing computer systems to “see” their environments by detecting objects in visual images or videos. What is Deep Learning Object …

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.