Apr 15, 2024 · A guide on object detection algorithms and libraries that covers use cases, technical details, and offers a look into modern applications.

Jan 27, 2025 · Object detection is at the forefront of innovation, revolutionizing AI and machine learning use. Explore object detection architectures like YOLO and Cascade R-CNN, known …

Methods for object detection generally fall into either neural network-based or non-neural approaches. For non-neural approaches, it becomes necessary to first define features using …

Jul 4, 2024 · 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 …

Aug 21, 2021 · Object detection is a key component of many deep learning models, and has undergone a number of revolutionary transformations in recent years. Object detection refers …

Oct 4, 2024 · Popular algorithms used to perform object detection include convolutional neural networks (R-CNN, Region-Based Convolutional Neural Networks), Fast R-CNN, and YOLO …

Feb 5, 2024 · Modern object detection models are trained to detect specific objects and can be used in images, videos, or real-time operations. The models use the unique properties of each …

Jan 1, 2023 · In this review, object detection and its different aspects have been covered in detail. With the gradual increase in the evolution of deep learning algorithms for detecting objects, a …

We classify these methods into three main groups: anchor-based, anchor-free, and transformer-based detectors. Those approaches are distinct in the way they identify objects in the image. …

Jan 27, 2024 · Using object detection, a fundamental computer vision task, has revolutionized how machines interpret the visual world. Unlike image classification, where the objective is to …