This paper examines more closely how object detection has evolved in the era of deep learning over the past years. We present a literature review on various state-of-the-art object detection …

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 …

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 …

Oct 24, 2025 · In the current AI-centric environment, object detection is a focal point of computer vision applications—be it in autonomous vehicles, surveillance systems, medical imaging, or …

Dec 1, 2025 · Despite these developments, object recognition remains a complex domain with persistent challenges and limitations. This work seeks to address these challenges by …

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 …

Utilizing convolutional neural networks (CNNs), the system automatically learns features from a diverse set of annotated images, enabling precise object detection and classification.

Jun 22, 2025 · Deep learning models, particularly those from the You Only Look Once (YOLO) series, have emerged as powerful tools for object detection tasks, offering real-time …

Aug 8, 2021 · Object detection is an old task, what has deep learning brought to it? Now, object detection is a relatively old task in computer vision field. Many researchers and engineers …

Jan 26, 2021 · Object detection is more challenging and combines these two tasks and draws a bounding box around each object of interest in the image and assigns them a class label. …