image-classification

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The latest effort, from the Mayo Clinic, holds some clues.

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A detailed step-by-step explanation of how to build an image-captioning model in Pytorch

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Realtime and offline SKU detection in the browser using Tensorflow.js

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**Image Classification** is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a specific label. Unlike [object detection](/task/object-detection), which involves classification and location of multiple objects within an image, image classification typically pertains to single-object images. When the classification becomes highly detailed or reaches instance-level, it is often referred to as [image retrieval](/task/image-retrieval), which also involves finding similar images in a large database. Source: [Metamorphic Testing for Object Detection Systems ](https://arxiv.org/abs/1912.12162)

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In this tutorial you will learn how to perform multi-label classification using Keras, Python, and deep learning.