Computer Vision

Image classification using GradientBoost: An example in Python using CIFAR10 Dataset

Image classification using GradientBoost: An example in Python using CIFAR10 Dataset     Image classification is a task of assigning a label to an image based on its visual content. It is a fundamental problem in the field of computer vision and has many practical applications, such as self-driving cars and image search engines. One …

Image classification using Xgboost: An example in Python using CIFAR10 Dataset

  Image classification is a task of assigning a label to an image based on its visual content. It is a fundamental problem in the field of computer vision and has many practical applications, such as self-driving cars and image search engines. One popular algorithm for image classification is XGBoost, a gradient boosting algorithm that …