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Abstract

Various aspects of the subject technology relate to systems, methods, and machine-readable media for selected image subset based search. The subject technology includes an image retrieval system using a convolutional neural network that is trained to identify features from pixel data and using an image search engine to search features of a cropped raw image against images having similar content. The system identifies a subset image corresponding to a user selection of a portion of an image. The system provides the subset image to a storage service to obtain a raw image. The system maps pixel data of the raw image corresponding to the selected portion of the image to create the cropped raw image, and fed through a feature extractor to form a corresponding feature vector. The feature vector of the cropped raw image may be searched against images having similar content to determine a prioritized listing of images.

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First Claim