title: ÐÐµÐ± ÑÐµÑÐ²Ð¸Ñ Ð´Ð»Ñ Ð¿Ð¾Ð´Ð³Ð¾ÑÐ¾Ð²ÐºÐ¸ Ð´Ð°Ð½Ð½ÑÑ (Ð°ÑÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ñ, ÑÐ°Ð·Ð¼ÐµÑÐºÐ°), Ð´Ð»Ñ Ð·Ð°Ð´Ð°ÑÐ¸ object detection
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Web service for data preparation (augmentation, markup), for the object detection task
Creators: name: Ð ÐµÐ·Ð½Ð¸ÐºÐ¾Ð², ÐÐµÐ½Ð¸Ñ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2021
Subjects: Ð²ÐµÐ±-ÑÐµÑÐ²Ð¸Ñ
Python
docker
React
PostgreSQL
web-service

description: Ð¦ÐµÐ»ÑÑ Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ ÑÐ²Ð»ÑÐµÑÑÑ ÑÐ¾Ð·Ð´Ð°Ð½Ð¸Ðµ Ð²ÐµÐ±-ÑÐµÑÐ²Ð¸Ñ, ÐºÐ¾ÑÐ¾ÑÑÐ¹ ÑÐ¿ÑÐ¾ÑÑÐ¸Ñ Ð¿ÑÐ¾ÑÐµÑÑ Ð¿Ð¾Ð´Ð³Ð¾ÑÐ¾Ð²ÐºÐ¸ Ð´Ð°Ð½Ð½ÑÑ Ð´Ð»Ñ Ð·Ð°Ð´Ð°ÑÐ¸ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð¾Ð±ÑÐµÐºÑÐ¾Ð², Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÑÑÐµÐ¹ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹, Ð½Ð° ÑÐ¾ÑÐ¾ Ð¸Ð»Ð¸ Ð²Ð¸Ð´ÐµÐ¾. Ð¡ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð´Ð°Ð½Ð½Ð¾Ð³Ð¾ Ð²ÐµÐ±-ÑÐµÑÐ²Ð¸ÑÐ° Ð¼Ð¾Ð¶Ð½Ð¾ Ð±ÑÐ´ÐµÑ ÑÐ°Ð·Ð¼ÐµÑÐ°ÑÑ Ð¾Ð±ÑÐµÐºÑÑ Ð½Ð° Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸ÑÑ Ð¸ ÑÐ²ÐµÐ»Ð¸ÑÐ¸Ð²Ð°ÑÑ Ð½Ð°Ð±Ð¾Ñ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹ Ð¿ÑÑÐµÐ¼ Ð°ÑÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ð¸ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹. Ð¢Ð°ÐºÐ¶Ðµ Ð±ÑÐ»Ð° Ð´Ð¾Ð±Ð°Ð²Ð»ÐµÐ½Ð° Ð²Ð¾Ð·Ð¼Ð¾Ð¶Ð½Ð¾ÑÑÑ ÑÑÐ°Ð½ÐµÐ½Ð¸Ðµ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹ Ð½Ð° ÑÑÐ¾ÑÐ¾Ð½Ðµ ÑÐµÑÐ²Ð¸ÑÐ°. ÐÑÐ¾Ð¼Ðµ ÑÐ¾Ð³Ð¾, Ð¾Ð½ Ð¿ÑÐµÐ´Ð¾ÑÑÐ°Ð²Ð»ÑÐµÑ Ð¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÐµÐ»Ñ Ð²Ð¾Ð·Ð¼Ð¾Ð¶Ð½Ð¾ÑÑÑ ÑÐ°Ð±Ð¾ÑÐ°ÑÑ ÑÑÐ°Ð·Ñ Ñ Ð½ÐµÑÐºÐ¾Ð»ÑÐºÐ¸Ð¼Ð¸ Ð½Ð°Ð±Ð¾ÑÐ°Ð¼Ð¸ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹, Ð¿Ð¾Ð·Ð²Ð¾Ð»ÑÑ Ð¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÐµÐ»Ñ ÑÐ°Ð·Ð´ÐµÐ»Ð¸ÑÑ Ð¸Ñ Ð½Ð° ÑÐ°Ð·Ð½ÑÐµ Ð³ÑÑÐ¿Ð¿Ñ. Ð ÑÐ°Ð¼ÐºÐ°Ñ ÑÐ°Ð±Ð¾ÑÑ Ð´Ð»Ñ Ð´Ð°Ð½Ð½Ð¾Ð³Ð¾ Ð²ÐµÐ±-ÑÐµÑÐ²Ð¸ÑÐ° Ð±ÑÐ»Ð° Ð²ÑÐ±ÑÐ°Ð½Ð° ÑÑÐµÑÑÑÐ¾Ð²Ð½ÐµÐ²Ð°Ñ Ð°ÑÑÐ¸ÑÐµÐºÑÑÑÐ°, ÑÐ¾ÑÑÐ¾ÑÑÐ°Ñ Ð¸Ð· ÑÑÐµÑ ÑÑÐ¾Ð²Ð½ÐµÐ¹: ÐºÐ»Ð¸ÐµÐ½Ñ, ÑÐµÑÐ²ÐµÑ Ð¿ÑÐ¸Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ Ð¸ ÑÐ¸ÑÑÐµÐ¼Ð° ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ Ð±Ð°Ð·Ð°Ð¼Ð¸ Ð´Ð°Ð½Ð½ÑÑ. ÐÐ»Ñ ÐºÐ°Ð¶Ð´Ð¾Ð³Ð¾ ÑÑÐ¾Ð²Ð½Ñ Ð±ÑÐ»Ð¸ ÑÐ°ÑÑÐ¼Ð¾ÑÑÐµÐ½Ñ Ð¸ Ð¿ÑÐ¾Ð°Ð½Ð°Ð»Ð¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ñ Ð²Ð¾Ð·Ð¼Ð¾Ð¶Ð½ÑÐµ Ð²Ð°ÑÐ¸Ð°Ð½ÑÑ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸. ÐÐ· ÑÐ°ÑÑÐ¼Ð¾ÑÑÐµÐ½Ñ Ð²Ð°ÑÐ¸Ð°Ð½ÑÐ¾Ð² ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð±ÑÐ»Ð¸ Ð²ÑÐ±ÑÐ°Ð½Ñ: ÐºÐ»Ð¸ÐµÐ½Ñ â React, ÑÐµÑÐ²ÐµÑ Ð¿ÑÐ¸Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ â Python Ð¸ ÑÐ¸ÑÑÐµÐ¼Ð° ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ Ð±Ð°Ð·Ð°Ð¼Ð¸ Ð´Ð°Ð½Ð½ÑÑ â PostgreSQL. Ð ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐµ ÑÐ°Ð±Ð¾ÑÑ Ð±ÑÐ» ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½ Ð²ÐµÐ±-ÑÐµÑÐ²Ð¸Ñ, ÑÐ´Ð¾Ð²Ð»ÐµÑÐ²Ð¾ÑÑÑÑÐ¸Ð¹ Ð·Ð°ÑÐ²Ð»ÐµÐ½Ð½ÑÐ¼ ÑÑÐµÐ±Ð¾Ð²Ð°Ð½Ð¸ÑÐ¼.
description: The purpose of this work is to create a web service that will simplify the process of preparing data for the task of detecting objects using neural networks, in photos or videos. Using this web service, it will be possible to mark up objects in images and increase the set of images by augmenting images. The ability to store images on the service side has also been added. In addition, it provides the user with the ability to work with several sets of images at once, allowing the user to divide them into different groups. As part of the work, a three-level architecture was chosen for this web service, consisting of three levels: the client, the application server and the database management system. Possible implementation options were considered and analyzed for each level. From the considered implementation options, the following were chosen: the client â React, the application server-Python and the database management system-PostgreSQL. As a result of the work, a web service was developed that meets the stated requirements.