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 …

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

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 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, …

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 …

Detecting and locating objects is one of the most common uses of deep learning for computer vision. Applications include helping autonomous systems navigate complex environments, …

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 …

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 …

In this paper, we focused on deep learning algorithms optimization for object detection considering occlusion, scale variation, lighting changes etc that the object may encounter as it …

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 …