title: Ð Ð°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ðµ Ð½Ð¾Ð³ÑÐµÐ²Ð¾Ð¹ Ð¿Ð»Ð°ÑÑÐ¸Ð½Ñ Ð¿Ð¾ Ð²Ð¸Ð´ÐµÐ¾ÑÑÐ´Ñ
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: Recognition of the nail plate by video series
Creators: name: ÐÐ¾Ð½Ð¾Ð½Ð¾Ð², ÐÐ°Ð²ÐµÐ»
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: 2020
Subjects: ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ðµ Ð½Ð¾Ð³ÑÐµÐ²Ð¾Ð¹ Ð¿Ð»Ð°ÑÑÐ¸Ð½Ñ
ÑÐµÐ¼Ð°Ð½ÑÐ¸ÑÐµÑÐºÐ°Ñ ÑÐµÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ñ
Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹
Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
nail plate recognition
semantic segmentation
image processing
neural networks

description: ÐÐ°Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐµ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð°, Ð¿Ð¾Ð·Ð²Ð¾Ð»ÑÑÑÐµÐ³Ð¾ ÑÐµÐ³Ð¼ÐµÐ½ÑÐ¸ÑÐ¾Ð²Ð°ÑÑ Ð½Ð¾Ð³ÑÐ¸ Ð¿Ð¾ Ð²Ð¸Ð´ÐµÐ¾ÑÑÐ´Ñ Ð¸Ð»Ð¸ ÑÐµÑÐ¸Ð¸ ÑÐ¾ÑÐ¾Ð³ÑÐ°ÑÐ¸Ð¹, Ð½Ð° ÐºÐ¾ÑÐ¾ÑÑÑ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ñ ÑÑÐºÐ¸. ÐÐ°Ð´Ð°ÑÐ¸, ÐºÐ¾ÑÐ¾ÑÑÐµ ÑÐµÑÐ°Ð»Ð¸ÑÑ Ð² ÑÐ¾Ð´Ðµ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ: 1. ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ñ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² ÑÐµÑÐµÐ½Ð¸Ñ Ð·Ð°Ð´Ð°ÑÐ¸ ÑÐµÐ¼Ð°Ð½ÑÐ¸ÑÐµÑÐºÐ¾Ð¹ ÑÐµÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ð¸. 2. ÐÑÐ±Ð¾Ñ Ð¼Ð¾Ð´ÐµÐ»Ð¸ Ð¸ Ð¿Ð¾Ð´Ð±Ð¾Ñ ÐµÐµ Ð³Ð¸Ð¿ÐµÑÐ¿Ð°ÑÐ°Ð¼ÐµÑÑÐ¾Ð² 3. Ð ÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° ÑÐµÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ð¸ Ð½Ð¾Ð³ÑÐµÐ²ÑÑ Ð¿Ð»Ð°ÑÑÐ¸Ð½ Ð¿Ð¾ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸ÑÐ¼ Ð¸Ð»Ð¸ Ð²Ð¸Ð´ÐµÐ¾ÑÑÐ´Ñ, Ð½Ð° ÐºÐ¾ÑÐ¾ÑÑÑ Ð¿ÑÐ¸ÑÑÑÑÑÐ²ÑÑÑ ÑÑÐºÐ¸. 4. Ð¡ÑÐ°Ð²Ð½ÐµÐ½Ð¸Ðµ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð² ÑÐ°Ð±Ð¾ÑÑ Ð½Ð° Ð¸Ð¼ÐµÑÑÐµÐ¹ÑÑ Ð²ÑÐ±Ð¾ÑÐºÐµ Ð¸ Ð½Ð¾Ð²ÑÑ Ð´Ð»Ñ Ð¼Ð¾Ð´ÐµÐ»Ð¸ Ð´Ð°Ð½Ð½ÑÑ. Ð ÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½Ð½ÑÐ¹ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼ Ð·Ð°ÐºÐ»ÑÑÐ°ÐµÑÑÑ Ð² ÑÐ°ÑÐºÐ°Ð´ÑÐ¾Ð²ÐºÐµ Ð²Ð¸Ð´ÐµÐ¾ÑÑÐ´Ð°, Ð¿ÑÐµÐ´Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐµ ÐºÐ°Ð¶Ð´Ð¾Ð³Ð¾ ÐºÐ°Ð´ÑÐ° Ð¸ Ð¿Ð¾Ð´Ð°ÑÐ¸ ÐµÐ³Ð¾ Ð½Ð° Ð²ÑÐ¾Ð´ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸. ÐÐµÐ¹ÑÐ¾Ð½Ð½Ð°Ñ ÑÐµÑÑ Ð²ÑÐ´ÐµÐ»ÑÐµÑ Ð¸ÐµÑÐ°ÑÑÐ¸Ñ Ð¿ÑÐ¸Ð·Ð½Ð°ÐºÐ¾Ð² Ð¸ ÐºÐ¾Ð´Ð¸ÑÑÐµÑ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ðµ. ÐÐ° Ð²ÑÑÐ¾Ð´Ðµ Ð¿Ð¾Ð»ÑÑÐ°ÐµÑÑÑ Ð¼Ð°ÑÐºÐ° ÑÐµÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ð¸ Ñ ÑÐ¾Ð¾ÑÐ²ÐµÑÑÑÐ²ÑÑÑÐ¸Ð¼Ð¸ Ð¼ÐµÑÐºÐ°Ð¼Ð¸ ÐºÐ»Ð°ÑÑÐ°, ÐºÐ¾ÑÐ¾ÑÑÑ Ð½ÑÐ¶Ð½Ð¾ Ð¿ÑÐ¸Ð²ÐµÑÑÐ¸ Ðº Ð¸Ð·Ð½Ð°ÑÐ°Ð»ÑÐ½Ð¾Ð¹ ÑÐ°Ð·Ð¼ÐµÑÐ½Ð¾ÑÑÐ¸. Ð¢Ð°ÐºÐ¸Ð¼ Ð¾Ð±ÑÐ°Ð·Ð¾Ð¼ Ð¼Ð¾Ð´ÐµÐ»Ñ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÑÐ¸ÑÑÐµÑ ÐºÐ°Ð¶Ð´ÑÐ¹ Ð¿Ð¸ÐºÑÐµÐ»Ñ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ñ. Ð ÑÐ°Ð±Ð¾ÑÐµ Ð¿ÑÐµÐ´ÑÑÐ°Ð²Ð»ÐµÐ½Ñ Ð¸ Ð¿ÑÐ¾Ð°Ð½Ð°Ð»Ð¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ñ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÑ, Ð²ÑÑÐ¸ÑÐ»ÐµÐ½Ð½ÑÐµ Ð¼Ð¾Ð´ÐµÐ»ÑÑ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸ Ð½Ð° Ð¾Ð±ÑÑÐ°ÑÑÐµÐ¹ Ð¸ ÑÐµÑÑÐ¾Ð²Ð¾Ð¹ Ð²ÑÐ±Ð¾ÑÐºÐµ. ÐÐ¾Ð»ÑÑÐµÐ½Ð½ÑÐµ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÑ Ð¼Ð¾Ð¶Ð½Ð¾ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÑ Ð´Ð»Ñ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ¸ Ð¸Ð½ÑÐµÑÐ°ÐºÑÐ¸Ð²Ð½ÑÑ Ð¸Ð½ÑÑÑÑÐ¼ÐµÐ½ÑÐ¾Ð² Ð¿ÑÐ¸Ð²Ð»ÐµÑÐµÐ½Ð¸Ñ Ð²Ð½Ð¸Ð¼Ð°Ð½Ð¸Ñ Ð¸ Ð¼Ð°ÑÐºÐµÑÐ¸Ð½Ð³Ð° Ð² ÑÑÐµÑÐµ ÑÑÑÐµÑÐ¸ÐºÐ¸, ÐºÑÐ°ÑÐ¾ÑÑ Ð¸Ð»Ð¸ Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½Ñ. ÐÐ° Ð¾ÑÐ½Ð¾Ð²Ð°Ð½Ð¸Ð¸ Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð½ÑÑ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ð¹ Ð±ÑÐ»Ð¾ Ð²ÑÑÐ²Ð»ÐµÐ½Ð¾, ÑÑÐ¾ Ð¿Ð¾ÐºÐ°Ð·ÑÐ²Ð°ÐµÑ Ð½ÐµÐ¿Ð»Ð¾ÑÐ¸Ðµ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÑ Ð½Ð° Ð½ÐµÐ±Ð¾Ð»ÑÑÐ¾Ð¼ Ð¾Ð±ÑÑÐ°ÑÑÐµÐ¼ Ð¼Ð½Ð¾Ð¶ÐµÑÑÐ²Ðµ.
description: This work is devoted to the development of an algorithm that allows you to segment nails in a video order or series of photos that show hands. Tasks that were solved in the course of the study: 1. Research of existing methods for solving the problem of semantic segmentation. 2. Choice a model and selecting its hyperparameters 3. Implementation of an algorithm for segmentation of nail plates based on images or video sequences that contain hands. 4. Comparing the results of work on the existing sample and new data for the model. The implemented algorithm consists of storyboarding the video sequence, preprocessing each frame and feeding it to the input of the neural network. The neural network selects a hierarchy of features and encodes the image. The output is a segmentation mask with the corresponding class labels, which must be reduced to the original dimension. This way, the model classifies each pixel in the image. The paper presents and analyzes the results calculated by the neural network model on a training and test sample. The results can be used to develop interactive tools for attracting attention and marketing in the field of aesthetics, beauty, or medicine. Based on the conducted research, it was found that it shows good results on a small training set.