SlideShare a Scribd company logo
What Is Computer
Vision as a Service?
How to Export
Power BI
Dashboards using
Power Automate
Workspace – where the report will be hosted in
service
Report – Report Name
Export Format – PDF
Step 6: Fill in the details in the actions
Step 7: Create a new step and search for Gmail or
Outlook and select send an email as an action
Place the visual according to your choice and run
the flow to trigger the action and send a mail to
defined users.
Acquiring Image Datasets
The first step in functioning a computer
vision algorithm is determining the
acquisition strategy of the image
datasets.The options are endless; hence, the
software architecture must be designed to
accommodate the best possibilities.
Labeling Datasets
When it comes to a machine learning
algorithm, there are numerous data points to
be fed to the system. The labels instruct the
machine about the job.
Processing the Data
Now that you have labeled data, it is time to
undergo a meticulous quality check by
testing it against a training dataset. Here,
the images undergo a series of automated
processes that enhance the images. This
involves adding or removing pixels, sorting
misclassified data, or removing noise.
Data Augmentation
The images are further modified with various
operations such as cropping, compressing,
flipping horizontally or vertically, and blurring,
among others. The following exercise trains
the system for better image recognition
capabilities.
Understanding the Visuals
Your model is now prepared to work
autonomously with various visuals in form of
images or videos. The system continues to
improve when used regularly.
Common
Computer Vision
Solutions
Face Recognition: The A.I. models calculate
several face representations to confirm identity
accurately.
Emotion Recognition
Video Analytics: Classifies each object to enable
smart video analysis solutions that help users
with granular search, smart alerting, and
comprehensive reporting.
Optical Character Recognition: Optical character
recognition translates data into easily editable
text and is the soundest way of capturing data
from printed or written text.
Common
Computer Vision
Solutions
Image Processing: Once you have labelled your
image dataset accurately, it can be used for
numerous purposes like removing noise or
identifying an individual.
Object Detection: An average object detection
capability includes information retrieval from a
moving or still image.
Thank You

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What Is Computer Vision as a Service? (Only Guide You Need)

  • 1. What Is Computer Vision as a Service?
  • 2. How to Export Power BI Dashboards using Power Automate Workspace – where the report will be hosted in service Report – Report Name Export Format – PDF Step 6: Fill in the details in the actions Step 7: Create a new step and search for Gmail or Outlook and select send an email as an action Place the visual according to your choice and run the flow to trigger the action and send a mail to defined users.
  • 3. Acquiring Image Datasets The first step in functioning a computer vision algorithm is determining the acquisition strategy of the image datasets.The options are endless; hence, the software architecture must be designed to accommodate the best possibilities. Labeling Datasets When it comes to a machine learning algorithm, there are numerous data points to be fed to the system. The labels instruct the machine about the job.
  • 4. Processing the Data Now that you have labeled data, it is time to undergo a meticulous quality check by testing it against a training dataset. Here, the images undergo a series of automated processes that enhance the images. This involves adding or removing pixels, sorting misclassified data, or removing noise. Data Augmentation The images are further modified with various operations such as cropping, compressing, flipping horizontally or vertically, and blurring, among others. The following exercise trains the system for better image recognition capabilities.
  • 5. Understanding the Visuals Your model is now prepared to work autonomously with various visuals in form of images or videos. The system continues to improve when used regularly.
  • 6. Common Computer Vision Solutions Face Recognition: The A.I. models calculate several face representations to confirm identity accurately. Emotion Recognition Video Analytics: Classifies each object to enable smart video analysis solutions that help users with granular search, smart alerting, and comprehensive reporting. Optical Character Recognition: Optical character recognition translates data into easily editable text and is the soundest way of capturing data from printed or written text.
  • 7. Common Computer Vision Solutions Image Processing: Once you have labelled your image dataset accurately, it can be used for numerous purposes like removing noise or identifying an individual. Object Detection: An average object detection capability includes information retrieval from a moving or still image.