How to use machine learning models created by others

Step #1 - Access Project Store
  • One of the greatest advantages of Deep Block is its platform capabilities. Users can create and share AI models and projects with others, while also having access to a wide range of machine learning models created by the community. Let's now explore the impressive community features offered by
  • Access app, sign in and click "EXPLORE" button.

  • If you already clicked the "get started" button, you would see a different top bar. In this case, press the "Project Store" button.
Step #2 - Select a task type
  • Choose the task you want. After selecting your application type, you can view machine learning projects uploaded by users.
    Choose a task type
  • As an example, we will choose image segmentation.
Step #3 - Choose a project
  • Among the various projects created by others, find the machine learning project you are looking for.
    Clicking a Project
  • Once you find the machine learning project you want to copy, click on it.
Step #4 - Copy a project
  • Check the project description and, if you want to copy this project, press the "FORK Project" button.
    Copy button
  • Set the project name and copy the project.
Step #5 - Go to Console
  • If you pressed the "FORK" button, go back to the "Console".
    back to the console
  • When you return to the console, the copy will be in progress.
  • The larger your machine learning project, the more time it will take to copy.
Step #6 - Time to Use!
  • Once the copying process is finished, simply click on the project to access it.
  • Mostly, the projects existing in the project store will be trained models.
    Press "PREDICT" tab, upload new images, and use machine learning models trained by others.
    predict tab-1
  • If you're interested in discovering the secrets of utilizing Deep Block, don't forget to read the manual for guidance.

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