Create a computer vision identification model

Generate a model which has bias removal as part of the AI pipeline

AUTHOR: Mark Swartz

Platforms:

QS1, QS4, QS5

Difficulty:

Basic

Prerequisites:

Data Pre Processing, Feature Selection, AI Data Pipelines

Table of Contents

Summary:

Inside this document we will explain the steps it takes to create your first computer vision model with QS1, QS3 and QSx.

If your goal is to rapidly create a highly accurate model that would allow you to identify shapes, objects or details within an object then this is the correct document to read and attempt.

As a use-case we will take you phase by phase through the start to finish of a model generation. If you are looking for a specific tip or trick please see the education portal inside your account. If you do not have an account, please contact the QTIS AI listed program director inside your company by contacting the CTO, CPO or Director of Technology.

				
					{
  "auth": "ying@domain.com,password",
  "tenantId": "test-tenant",
  "userId": "test-user",
  "groupId":"003fb4db-69eb-4439-bfd4-6ba927a4e4c1-10012020",
  "type": "new",
  "modelId": "",
  "age": 32,
  "gender": "male",
  "tracking": "acne,pigmentation,scars,wrinkles,longevity",
  "secretKey": "a910@erysuua8177281Do)0",
  "image": "https://skncre91/s1/sanity_test_ts/images/acne/test-tenant_test-user_ff_ACNE_5_23.jpg"
}
				
			

Phase 1:

You can prepare your plan by making sure you know what supports the identification of item or items, shapes, objects or cognition within the images to be used in training the system. If you are unsure what helps define the shape or object you should revert back to our Data Feature Basics (Lesson) or contact your QTIS PM and request a Data Specialist to define this for you.

If you do have a defined set of characteristics and are ready to proceed you can start by locating

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Built with developers in mind.

We provide verbose clear APIs with instruction and usecases so you can create your application sooner.

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					{
  "auth": "ying@domain.com,password",
  "tenantId": "test-tenant",
  "userId": "test-user",
  "groupId":"003fb4db-69eb-4439-bfd4-6ba927a4e4c1-10012020",
  "type": "new",
  "modelId": "",
  "age": 32,
  "gender": "male",
  "tracking": "acne,pigmentation,scars,wrinkles,longevity",
  "secretKey": "a910@erysuua8177281Do)0",
  "image": "https://skncre91/s1/sanity_test_ts/images/acne/test-tenant_test-user_ff_ACNE_5_23.jpg"
}