Генерация трехмерных синтетических датасетов

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Влада Владимировна Кугуракова
Виталий Денисович Абрамов
Даниил Иванович Костюк
Регина Айратовна Шараева
Рим Радикович Газизов
Мурад Рустэмович Хафизов

Аннотация

Работа посвящена описанию процесса разработки универсального инструментария для генерации синтетических данных для обучения разных нейронных сетей. Используемый подход показал свою успешность и эффективность в решении различных задач, в частности, обучения нейросети для распознавания покупательского поведения внутри магазинов через камеры наблюдения и пространств устройствами дополненной реальности без использования вспомогательных инфракрасных камер. Обобщающие выводы позволяют спланировать дальнейшее развитие технологий генерации трехмерных синтетических данных.

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