Create an Image Classification Multilabel based project

Create an Image Classification Multilabel based project


Multilabel classification assigns different labels to a sample set. This process is similar to predicting properties of data-points that are not mutually exclusive.  For example: an image may contain buildings, trees, signs, the sky or people. It could also contain none of these. Skyl allows you to label these images in multiple categories if necessary.

To create an Image Classification Multilabel  project:

  1. Click the ‘Add Project’ card on the Welcome Page of Skyl.ai


  2. You will be directed to the page where you can select a Machine Learning template for your project
  3. To create an Image Classification Multilabel project, select the Image Classification Multilabel template under Computer Vision
  4. To learn more about the process of creating an image classification multilabel project, click ‘Learn more’


  5. By selecting the Image Classification Multilabel template, you will be directed to ’Define your Project Name and Outcome’. Here, enter the Name of the project and describe what Machine Learning outcome you want to achieve from the project

    For example: Vehicle Defect Detection for Insurance Claim


  6. When you create a project, you will be able to view it on the Skyl Welcome Page. When you select a particular project, you will be taken to the next stage; designing your dataset




Create an Image Classification Multiclass based project

Create an Image Classification Multiclass based project


MultiClass classification the process through which computers classify images that have three or more categories within a single label.

For example, a set of different fruits may be oranges, apples, or pears. Multiclass classification assumes that each fruit can be assigned to a single label: a fruit can be either an apple or a pear but not both at the same time.

To create an Image Classification Multiclass project:

  1. Select ‘Add Project’ on the Welcome page of Skyl.ai


  2. You will be directed to the page where you can select a Machine Learning template for your project
  3. To create an Image Classification Multiclass project, select the Image Classification Multiclass template under Computer Vision
  4. To learn more about the process of creating an image classification multiclass project, click ‘Learn more’

  5. By selecting the Image Classification Multiclass template, you will be directed to ’Define your Project Name and Outcome’. Here, enter the Name of the project and describe what Machine Learning outcome you want to achieve from the project

  6. Select ‘Create Project’ or ‘Cancel’ the project

  7. For example, your project name is ‘Pneumonia Detection’


  8. Once created, the project ‘Pneumonia Detection’ will appear on the Welcome Page






Computer Vision Overview

Computer Vision Overview


Computer vision in Skyl is the automatic extraction, analysis, and comprehension of useful information from an image or a sequence of images.  Skyl can create both image multiclass and multilabel projects.