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SYSTEM AND METHOD FOR CLASSIFIER TRAINING AND RETRIEVAL FROM CLASSIFIER DATABASE FOR LARGE SCALE PRODUCT IDENTIFICATION
SYSTEM AND METHOD FOR CLASSIFIER TRAINING AND RETRIEVAL FROM CLASSIFIER DATABASE FOR LARGE SCALE PRODUCT IDENTIFICATION
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机译:对大型产品数据库的分类器数据库的分类和检索的系统和方法
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摘要
The disclosure relates to systems and methods for real-time detection of a very large number of items in a given constrained volume. Specifically, the disclosure relates to systems and methods for retrieving an optimized set of classifiers from a self-updating classifiers' database, configured to selectively and specifically identify products inserted into a cart in real time, from a database comprising a large number of stock-keeping items, whereby the inserted items' captured images serve simultaneously as training dataset, validation dataset and test dataset for the recognition/identification/re-identification of the product.
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