Automatic Data Collection For Machine Learning Models

• automatic-images-classifier-generator

  18 11 10.0 Python

  Generate machine learning models fully automatically to clasiffiy any images using SERP data

  

Before we dive deep into how to streamline automatic data capture process for different metadata of machine learning models. I would like to give the reader an idea about how the Automatic Image Classification Generator, and SerpApi’s Google Images Scraper API can be utilized in a different way. Although formats other than images are not supported in the Generator, paper forms or paper documents in image formats can be utilized to further enhance the text data. Here is an example query:

• google-search-results-nodejs

  57 73 2.7 JavaScript

  SerpApi client library for Node.js. Previously: Google Search Results Node.js.

  

Without giving definite templates for them, by utilizing automated data capture methods SerpApi provides, you may create all kinds of products such as classification models to improve barcode scanners, old paper document management tools, the next image recognition app that can replace RFID readers stocking, or optical mark recognition, automatic data collection tools for the healthcare industry that can replace manual data collection, publicly available personal data collection software to reduce government intervention in private data, QR code scanner that provides more data than the link which leverages different forms of data collection methods, etc. The possibilities are abundant with the type of data SerpApi can provide.

• SurveyJS

  surveyjs.io featured

  Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.

  

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