This article discusses various image preprocessing techniques for object detection in Python, including data augmentation, image resizing, and normalization.
Learn how to use OpenCV for object detection in images and videos, including preprocessing techniques such as thresholding and edge detection.
This research paper reviews the current state of deep learning techniques for object detection, including image preprocessing methods and their impact on detection accuracy.
This online course covers various image preprocessing techniques, including filtering, thresholding, and feature extraction, with applications in object detection and other computer vision tasks.
This video tutorial demonstrates how to use YOLO (You Only Look Once) and OpenCV for object detection in Python, including image preprocessing steps such as resizing and normalization.
This tutorial shows how to use Keras for object detection in images, including data preprocessing techniques such as image augmentation and batch normalization.
This survey paper reviews various image preprocessing techniques used in object detection, including traditional methods and deep learning-based approaches.
This tutorial demonstrates how to use scikit-image for image preprocessing and object detection in Python, including techniques such as filtering, thresholding, and feature extraction.