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GitHub2y
Image Classification using Python Machine Learning Scikit-Learn - GitHub
In this project, we demonstrated how to use scikit-learn to recognize images of hand-written digits, using various Machine Learning (ML) built-in image classification functionalities and compare their ...
GitHub6mon
GitHub - emirroguz/Hyperspectral-Image-Classification: HSI classification using machine learning, deep learning (2D/3D-CNN, ViT), and semi-supervised learning techniques with ...
The project workflow is structured as follows: Data Preprocessing: Raw hyperspectral images are reshaped, noise-filtered, and dimensionality-reduced using PCA for improved efficiency. Model Training: ...
Analytics India Magazine5y
Transfer Learning For Multi-Class Image Classification Using CNN - Analytics India Magazine
In this article, we will implement the multiclass image classification using the VGG-19 Deep Convolutional Network used as a Transfer Learning framework where the VGGNet comes pre-trained on the ...
IEEE1y
Arrhythmia Classification Using ECG Image Dataset Using Machine Learning Approach on DenseNet121 Model
Arrhythmia Classification Using ECG Image Dataset Using Machine Learning Approach on DenseNet121 Model ... Research on the classification of arrhythmias frequently entails the creation and assessment ...
IEEE5y
Underwater Image Classification using Machine Learning Technique
In order to overcome this, machine learning based Bag of Features model is adopted in this paper. The dataset is obtained from shallow water using ROV. Since the underwater optical images have low ...