Object Detection with Sliding Window Algorithm

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


What is Landmark Detection in Computer Vision?

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


Image Classification with Localization

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



Why Convolution is Useful in Neural Networks?

Over the last decade, machine learning has made huge strides in terms of increased prediction accuracy and more comprehensive. While consulting for machine learning solution development, our clients often ask questions around the role of convolution in deep learning. In addition to the availability of data, and cheap compute and ... read more


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