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This project demonstrates how to build an image classification model using Convolutional Neural Networks (CNNs) to classify images into predefined categories. It covers data preprocessing, model ...
Facial recognition system using Python, OpenCV, and K-Nearest Neighbors (KNN) algorithm. Utilizes OpenCV for image processing and feature extraction, while KNN algorithm is employed for classification ...
In this research, we present a Python implementation using TensorFlow to employ the (ViT) model for image classification. Four categories of animals such as (cow, dog, horse and sheep) images will be ...
This paper studies KNN algorithm and analyzes the factors that affect the accuracy of image classification. Then the algorithm is improved by optimizing the selection strategy of K value in ...
Artificial intelligence method based on multi-feature fusion for automatic macular edema (ME) classification on spectral-domain optical coherence tomography (SD-OCT) images ...
Finally, the Softmax layers were used to achieve efficient image classification. Thus, it was crucial to develop a novel DCNNs method to classify the CT image automatically and achieve an intelligent ...
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