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Image preprocessing is the first step in OCR technology, aimed at improving image quality to create favorable conditions for subsequent character recognition. Vehicle document images may be affected ...
In the field of power operation and maintenance, bird nests on utility poles have always been a potential safety hazard. If ...
This repository contains a Jupyter notebook that implements a Convolutional Neural Network (CNN) for image classification using TensorFlow and Keras. The project demonstrates how to build, train, ...
In this paper, we propose a Mask R-CNN algorithm specifically designed for detecting rural road surface defects. To enhance precision and recall rates, data augmentation techniques—such as image ...
Abstract The research article studies the impact of data augmentation, particularly 60˚ rotation, on the performance of a ResNet convolutional neural network (CNN) for brain tumor detection using MRI ...
Improve this page Add a description, image, and links to the cnn-data-preprocessing-model-training-evaluation topic page so that developers can more easily learn about it. Curate this topic ...
Access to technologies like mobile phones contributes to the significant increase in the volume of digital visual data (images and videos). In addition, photo editing software is becoming increasingly ...
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