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Haar cascades are used for face detection on low-edge devices, and it is one of the most popular object detection algorithms in OpenCV.Start exploring now!
Learn how to enhance your image segmentation skills with U-Net, an encoder-decoder convolutional neural network, in our informative article.
The You Only Look Once (YOLO) algorithm performs real-time object detection using a convolutional neural network (CNN).
Yolov7 is the new state-of-the-art real-time object detection model. You can use it for different industrial applications. Give it a try today!
Template matching is a high-level computer vision approach that detects image portions that match a predetermined template
Explore the different versions of YOLO and learn to perform object detection on a custom dataset with YOLOv7 following our step-by-step guide.
Image thresholding is a type of image segmentation that divides the foreground from the background in an image.
Learn about YOLO family that has been the supreme leader in Object Detection and Classification Algorithms since its inception.
The article shows how DFFT simplifies object detection to an encoder-only single-level anchor-based dense prediction framework.
In this DataHour, the fundamental ideas of CNN will be discussed along with various examples utilising Python and Tensorflow/Keras
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