Automatic_tagging_of_clothing_in_E-Commerce | Automatic tagging of clothing in E-Commerce | Data Labeling library

by DataTurks-Engg Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | Automatic_tagging_of_clothing_in_E-Commerce Summary

Automatic_tagging_of_clothing_in_E-Commerce is a Python library typically used in Retail, Artificial Intelligence, Data Labeling applications. Automatic_tagging_of_clothing_in_E-Commerce has no bugs, it has no vulnerabilities and it has low support. However Automatic_tagging_of_clothing_in_E-Commerce build file is not available. You can download it from GitHub.

Automatic tagging of clothing in E-Commerce, Using Tensorflow and GCP. Classify the clothing products into various categories using Machine Learning. Shameless plugin: We are a data annotation platform to make it super easy for you to build ML datasets. Just upload data, invite your team and build datasets super quick. Check us out. Why E-commerce and tagging of clothes?. From startups to small businesses right through to huge brands, there are a huge number of companies that can benefit from their own ecommerce website, where they can sell their own products or services. In today’s competitive and convenience focused society, no longer do consumers want to venture to the high street in order to buy items, instead consumers want to shop from their own homes, making ecommerce a flexible solution for both businesses and buyers. With E-commerce gaining more popularity day after day the number of products available for shopping are also increasing. With this increasing trend it is extremely difficult to tag products like clothes which come in so many varieties to be tagged manually. So this was a small attempt made to use machine learning for easing out this task.

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Support

Automatic_tagging_of_clothing_in_E-Commerce has a low active ecosystem.

It has 42 star(s) with 15 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

Automatic_tagging_of_clothing_in_E-Commerce has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Automatic_tagging_of_clothing_in_E-Commerce is current.

Quality

Automatic_tagging_of_clothing_in_E-Commerce has 0 bugs and 0 code smells.

Security

Automatic_tagging_of_clothing_in_E-Commerce has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Automatic_tagging_of_clothing_in_E-Commerce code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Automatic_tagging_of_clothing_in_E-Commerce does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

Automatic_tagging_of_clothing_in_E-Commerce releases are not available. You will need to build from source code and install.

Automatic_tagging_of_clothing_in_E-Commerce has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed Automatic_tagging_of_clothing_in_E-Commerce and discovered the below as its top functions. This is intended to give you an instant insight into Automatic_tagging_of_clothing_in_E-Commerce implemented functionality, and help decide if they suit your requirements.

Convert a dataturksed item to a PascalVOC
Generate the XML for a given bounding box
Download an image from the given url
Split a Pandas DataFrame
Create a tf example
Convert a class label text to an integer
Convert xml file to csv
Create an argument parser

Get all kandi verified functions for this library.

Automatic_tagging_of_clothing_in_E-Commerce Key Features

No Key Features are available at this moment for Automatic_tagging_of_clothing_in_E-Commerce.

Automatic_tagging_of_clothing_in_E-Commerce Examples and Code Snippets

No Code Snippets are available at this moment for Automatic_tagging_of_clothing_in_E-Commerce.

Community Discussions

Trending Discussions on Data Labeling

How can I do this split process in Python?

Replacing a character with a space and dividing the string into two words in R

Azure ML FileDataset registers, but cannot be accessed for Data Labeling project

QUESTION

How can I do this split process in Python?

Asked 2021-Dec-30 at 14:06

I'm trying to make a data labeling in a table, and I need to do it in such a way that, in each row, the index is repeated, however, that in each column there is another Enum class.

What I've done so far is make this representation with the same enumerator class.

A solution using the column separately as a list would also be possible. But what would be the best way to resolve this?

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ANSWER

Answered 2021-Dec-30 at 13:57

Instead of using Enum you can use a dict mapping. You can avoid loops if you flatten your dataframe:

Source https://stackoverflow.com/questions/70532286

QUESTION

Replacing a character with a space and dividing the string into two words in R

Asked 2020-Nov-18 at 07:32

I have a dataframe that contains a column that includes strings separeted with semi-colons and it is followed by a space. But unfortunately in some of the strings there is a semi-colon that is not followed by a space.

In this case, This is what i'd like to do: If there is a space after the semi-colon we do not need a change. However if there are letters before and after the semi-colon, we should change semi-colon with space

i have this:

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ANSWER

Answered 2020-Nov-16 at 07:24

Try something like:

Source https://stackoverflow.com/questions/64853962

QUESTION

Azure ML FileDataset registers, but cannot be accessed for Data Labeling project

Asked 2020-Oct-28 at 20:31

Objective: Generate a down-sampled FileDataset using random sampling from a larger FileDataset to be used in a Data Labeling project.

Details: I have a large FileDataset containing millions of images. Each filename contains details about the 'section' it was taken from. A section may contain thousands of images. I want to randomly select a specific number of sections and all the images associated with those sections. Then register the sample as a new dataset.

Please note that the code below is not a direct copy and paste as there are elements such as filepaths and variables that have been renamed for confidentiality reasons.

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ANSWER

Answered 2020-Oct-27 at 22:39

Is the data behind virtual network by any chance?

Source https://stackoverflow.com/questions/64546521

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Automatic_tagging_of_clothing_in_E-Commerce

You can download it from GitHub.
You can use Automatic_tagging_of_clothing_in_E-Commerce like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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