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

Aug 21, 2021 · A look into the various object detection algorithms alongside their technical implementations and how the field has matured through recent history.

Aug 10, 2021 · There are various types of object detection algorithms, some are traditional techniques and some are modern techniques developed recently. These architectures differ from each other based on its accuracy, speed, and hardware resources required.

Jan 27, 2025 · Object detection has grown from rudimentary edge detection algorithms to sophisticated deep learning models. Here’s a consolidated overview of object detection challenges and the corresponding solutions offered by various models:

Jul 4, 2024 · Well-known object identification models with distinct benefits in terms of speed and accuracy, such as YOLO, SSD, and Faster R-CNN, have established standards in the industry. The following are the main elements of an object detecting system:

Feb 5, 2024 · Object detection is not only applicable to images but it can also be effectively used on videos and live footage with great precision. In the coming years, we can expect to see numerous advanced algorithms and libraries for object detection.

Oct 4, 2024 · The Best Real-Time Object Detection Algorithm (Accuracy) On the MS COCO dataset and based on the Average Precision (AP), the best real-time object detection algorithm is YOLOv7, followed by Vision Transformer (ViT) such as Swin and DualSwin, PP-YOLOE, YOLOR, YOLOv4, and EfficientDet.

Based on deep learning, object detection methods are typically divided into three categories: two-stage object detection, one-stage object detection, and transformer-based object detection. This article provides an overview of these three methods.

Oct 25, 2024 · Object detection is a well-structured computer vision technique that is used particularly for identifying, locating, and categorizing objects in digital and video images. It follows an applied intelligence approach, where engineers train …

Feb 18, 2025 · Common Object Detection Algorithms. Different object detection algorithms serve specific purposes. Some focus on speed, while others prioritise accuracy. Fast R-CNN – Extracts important features from images and refines detected object locations. YOLO – Splits an input image into grids and predicts objects in a single step.