Designing of image classification and processing procedure by considering various factors involved, decides the success of the classification approach being used. This paper provides a summarization ...

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: ...

Another prime area for deep learning is image classification, which includes image classification with localization, object detection, object segmentation, image style transfer, image colorization ...

Deep learning vs. machine learning: what's the difference between the two? We provide a simplified explanation of both AI-based technologies.

Fashion is the way we present ourselves which mainly focuses on vision, has attracted great interest from computer vision researchers. It is generally used to search fashion products in online ...

Deep Learning as a Subset: All Deep Learning is Machine Learning, but not all Machine Learning involves Deep Learning. DL models are essentially a complex type of ML algorithms.

Deep Learning, a subset of machine learning, takes inspiration from the human brain. Here, artificial neural networks, which mimic the way neurons signal each other, are used to process data in ...