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Image classification classifies and labels sets of pixels inside an image using set of specified tags that an algorithm has been trained on.
This article teaches you about fully convolutional one-Stage object detection, NanoDet plus and train dataset.
Face alignment ensures that the center of the face will be equal for all the images in a dataset, making training model successful.
This article explains a step-by-step approach to building a deep learning image classifier model with Keras in R.
In this article we will be learning in depth about the Cartoonify Image while employing OpenCV and Python.
Learn everything you need to know about YOLO Algorithm , an innovative solution for custom object detection in yolo deep learning.
We have defined the saliency map with tensorflow and added a pictorial representation to understand the term "saliency map" deeply.
In this DataHour session, you will develop an understanding as how you can learn the image processing using python.
In this article, you will learn how to build a food image classifier using a library called 'Fastai'. Sounds exciting?
In this article we will be unravelling about what is Drowsiness Detection System that will alert the driver as soon as he fell asleep. Read Now!
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