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inonlineru2020-11-02 14:06:24
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inonlineru, 2020-11-02 14:06:24

How to recognize the color and shape of the case in the image of a watch?

There is no hope for an answer, but let's try
. Tell me the idea of ​​\u200b\u200bimplementing such a task.

There are 40 thousand images of wristwatches. Several characteristics need to be determined from the image:
1) The shape of the case (Oval, barrel, circle, square, rectangle)
3) The color of the dial
4) The color of the strap
GA-100-1A1.jpg

How can modern technologies solve such problems?
Neural networks or Yandex.Toloka?
Or are there easier options?

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2 answer(s)
T
twobomb, 2020-11-02
@twobomb

See how you can do it, make a simple site, the user logs in, he is given images and he fills in the parameters (color, shape). Next, we go to a site like wmmail, set a task there with an amount of, for example, $ 1 per 1000 images, but without auto-payment. It is important that each verified image is tied to a specific user, so that if someone cheats, you can do a reset, and to check, for example, view 10-20 random images and parameters filled in by the user, if you make a mistake somewhere, then don’t pay and reset everything filled in by the user. Well, krch schoolchildren will scatter this task for you in a day, they are ready to jump out of the window for $ 1.
As a result, you will complete the task and, based on this data, you will be able to train if such a task may arise in the future.

M
MatrixKiller, 2020-11-02
@MatrixKiller

Neural networks. Easy to write in Python.

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