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WhatsAppOct 21 2019· North America Canada English Mexico Español United States English South America Brazil Português South America Español large volume OCR solution for document conversion Cloud OCR SDK Easy to integrate highend OCR data capture cloud service
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WhatsAppOct 17 2019· The Benchmark tool was created for classifier testing It lets you split up the documents into training and test documents using a percentage ratio This tool is used only for unbiased evaluations of the classifier quality To create the classifier itself all
WhatsAppThe model can use Image Classifier Text Classifier or a combination of both The performance can be optimized by defining the balance between high recall and high precision Cross validation of data is available to test the quality of the Classification Model
WhatsAppABBYY Smart Classifier is a powerful intuitive classification application module that enables enterprises and software developers to overcome implementation and usage complexities that have hindered widespread adoption of classification technology causing it to remain more of an art form than a trusted easytodeploy capability
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WhatsAppOct 07 2019· Note You can train the classifier on specific documents by selecting them and clicking Classification Training → Classify Before you can use the classifier that you have created you need to train it and test it using examples of real images Classifier training is based on the reference classes specified in the classifiers settings
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WhatsAppTo achieve high efficiency FlexiCapture SDK provides a complete set of technologies and tools for streamlined processing of structured and unstructured forms and documents including data verification advanced document classification learning by feedback
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WhatsAppCreating a classifier To create a classifier in ABBYY FlexiCapture complete the following steps Set up the classifier based on how you want to use it Load the images Train the classifier To assess the quality of your classifier create a test batch This batch should be made up of documents that were not used in the training of the
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WhatsAppThe implementation of a rulebased approach is under evaluation However this means a high effort in configuration for us We would like to have better automation that is what makes machine learning interesting for us" But not only new or modified products are supposed to be checked by the dangerous goods classifier
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