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Using machine learning or deep learning models, the system compares the features of the captured image to pre-trained datasets to identify objects, faces, or text. For example, in a facial recognition system, the CV software will compare facial features with a database to verify a person's identity.
5 hours ago
16 hours ago · Object detection operates based on convolutional neural networks (CNNs) as deep learning algorithms specialized for image pixel input. CNNs are also used in ...
8 hours ago · A novel detection method is proposed to address the challenge of detecting small objects in object detection. This method augments the YOLOv8n architecture.
20 hours ago · YOLO is a state-of-the-art object detection system that can detect and classify objects in images with high accuracy and speed. It operates by dividing the ...
13 hours ago · The visual encoder is responsible for extracting image features, while the visual projection layer decouples and aligns these features with the semantic space ...
21 hours ago · Object Detection: Object detection is a computer vision technique used to identify and locate objects within an image or video stream, often utilizing methods ...
5 hours ago · Machine learning algorithms are vital in training computer vision systems to recognize objects and patterns. Using large datasets of labeled images, machine ...
7 hours ago · The neural network models used for UAV object detection can be broadly categorized into single-stage and two-stage networks. Two-stage network models originated ...
18 hours ago · Deep Convolutional Neural Networks (DNNs) perform poorly in tasks with low image resolution or small objects. Most DNN architectures use strided convolutions or ...
11 hours ago · The domain of object detection was revolutionized with the introduction of Convolutional Neural Networks (CNNs) in the field of computer vision. This article ...