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Create a model of product category recognition

Translated131 USD

Client's review of cooperation with Vladislav Bandurin

Quality
Professionalism
Cost
Contactability
Deadlines

The work is done well, all agreements are met!
A good expert, I recommend it to everyone!
He was always in contact, answered questions, explained the nuances.
Thank you ! )

Profile deleted | Safe Safe

Freelancer's review of cooperation with client

Payment
Task setting
Clarity of requirements
Contactability

The customer provided a quality data set for the training of the neuron network, which make the work better than expected 🙂
It was a great pleasure to work, and I will be happy to work together in the future!

  1. 356    8  0
    Winning proposal14 days131 USD

    Good day .
    I have been in Data Science for two years, specializing in Computer Vision projects. I was interested in your project and I would like to know more about it. In particular, do you have a stored dataset and what accuracy of classification you are planning to get at the output?
    To get more detailed the complexity of the task I need to see examples of images.
    I will be happy to talk to you ;)
    with respect,
    The Government

  • Rafayel Khachatryan
    19 August 2019, 19:18 |

    Простите, а на каком языке разработан проект ?

  • Profile deleted
    19 August 2019, 21:30 |

    node js

  • Igor Maly
    19 August 2019, 19:43 |

    Добрый вечер. Какой бюджет?

  • Profile blocked
    20 August 2019, 2:15 |

    Если в описании продукта есть что-то вроде "Зимняя одежда для мальчиков", то это несложно 🙂

  • Profile blocked
    20 August 2019, 6:49 |

    На питоне и ИИ-шное распознавание картинок можно сделать. Немного напряжно, но не сильно. Сейчас куча готовых библиотек есть. Правда, 100%-го распознавания не выйдет.

  • Serhii Nikonov
    20 August 2019, 11:17 |

    Добрый день. 

    Тут основная проблема в том, что данные в разных областях. Распознавание с изображения это одно и требует Computer Vision, описание и название требуют NLP.  Потом эти предсказания нужно как-то объединять.

    Размер размеченных данных?

    Бюджет?

    Сроки?

    С уважением, Сергей.

  • Profile blocked
    20 August 2019, 11:47 |

    Не обязательно, берем библиотеку питоновскую по попиксельному перебору данных - построение кривых, я не помню, как она обзывается, потом кучу картинок с тегами. И мелкую фигню, которая размеры и кривые будет анализировать. Но ту собиратель кирпичей из конструктора не подойдет, нужен хотябы человек, изучавший дифференциальную геометрию.

  • Serhii Nikonov
    20 August 2019, 20:38 |

    ну, по классике тут должна быть CNN и что-то вроде word2vec.

  • Profile blocked
    21 August 2019, 5:01 |

    Можно и библах, юзающих растровую графику. Дольше думать будет, но можно. А знания диффгеометрии все равно нужны. )

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