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Machine learning is a branch of artificial intelligence (AI) and deals with how to make computers learn (model of relationships, reasoning and analogies) from experience so that computers can act in a smarter way without being explicitly programmed. Machine learning is an interdisciplinary field which borrows techniques and methods from ... read more

Object detection using a sliding window has existed before the recent rise of machine learning in computer vision. While interacting with non-technical clients data science consultants at Datalya often do get asked what is sliding window algorithm. In this article, we will try to explain the sliding window algorithm for ... read more

In image classification with localization, we train a neural network to detect objects and then localize by predicting coordinates of the bounding box around it. While working with computer vision projects, our machine learning consultants often do get asked what is landmark detection. In this article, we will explain how ... read more

In image classification with localization, we train a supervised algorithm to predict class as well as the bounding box around the object in the image. The term 'localization' refers to where the object is in the image. At Datalya, our deep learning consultants heavily rely on image classification with localization ... read more

Image Classification: In image classification, a supervised machine learning algorithm looks at the input image and predicts a class label of that image (binary or multi-class). For example, a binary dog classifier algorithm will predict dog or no-dog class label for a given input image. Image Classification with Localization: In ... read more