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README.md

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 # About the dataset
-We introduce a large image dataset Selfie Id Dataset for training a neural network to solve reidentification tasks. The dataset consists of selfie photos and document photos of people. "Selfie Id Dataset" solves the tasks of training algorithms to identify users by their document photos. Proposed dataset allows to build identity recognition systems, which can be used to develop anti-spoofing solutions, such as countermeasures and system configurations that can help make authentication systems more secure.
+We introduce a large image dataset Selfie Id Dataset for training a neural network to solve reidentification tasks. The dataset consists of selfie photos and document photos of people. The list of documents, from which photos are taken: passports, foreign passports, rights, passes, medical certificates, membership/bank/transport cards, certificates, certificates, diplomas, etc. 
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+"Selfie Id Dataset" can be utilized in several applications, including facial recognition algorithms, identity verification systems, forensic analysis, and deep learning research. By providing both personal and official photographs, this dataset offers a comprehensive resource for evaluating and improving the performance of algorithms in various real-world scenarios.
 
 The dataset consists of 5,591 sets of images (83,865 images in total) from 4,200+ unique people from 55 countries. The data for the dataset is still gathering, so the number of videos and photos is getting bigger!