Matrice.ai Quickstart Guide

Welcome to Matrice.ai! This guide will walk you through the steps to get started on the platform, from signing up to training your first model. Let’s dive in!

1. Sign Up

Your journey begins by creating an account on Matrice.ai:

  • Visit Matrice.ai and click Sign Up at the top-right corner.

  • Fill in your personal details: name, email, and a strong password.

  • Check your inbox for a verification email and click the link to verify your account.

  • Once verified, log in to access the Matrice dashboard.

Sign In

Tip: Enable two-factor authentication (2FA) from your account settings for enhanced security.

2. Sign In

Once you’ve created your account, sign in to Matrice.ai:

  • Visit the Sign In page.

  • Enter your registered email and password, then click Sign In.

  • You’ll be redirected to your personalized dashboard.

Sign In

Info: Forgot your password? Use the "Forgot Password" link on the sign-in page to reset it.

3. Create Access Keys

You’ll need API access keys to programmatically interact with Matrice.ai or use the CLI.

  • Navigate to Account Settings and scroll to the API Keys section.

  • Click Generate New Key to create a new access key and secret key pair.

  • Copy and securely store these keys, as they won’t be displayed again.

Sign In

Sign In

Sign In

Warning: Keep your access keys safe and private. Sharing them can lead to unauthorized access.

4. Set Up Your Environment

To start using the Matrice SDK, follow these steps:

  • Install the Matrice SDK:

    pip install matrice

  • Set up your environment by configuring your access keys:

    import os

os.environ['MATRICE_ACCESS_KEY_ID'] = "YOUR_ACCESS_KEY_ID"
os.environ['MATRICE_SECRET_ACCESS_KEY'] = "YOUR_SECRET_ACCESS_KEY"
Tip: Automate access key configuration by adding the keys to your environment variables.

5. Train Your First Model

Once your environment is set up, you’re ready to train your first model. Matrice.ai supports multiple frameworks, including TensorFlow and PyTorch.

  • Upload your data via the Datasets tab.

  • Choose a model from the Model or upload your own through BYOM.

  • Set your hyperparameters, then click Train Model to start the process.

Info: Need help with model deployment? Check out the [Deployment Guide](deployment-guide.md) for a step-by-step tutorial.

6. Explore More Features

Matrice.ai offers various features to streamline your AI workflows. Here are some key features to explore:

  • BYOM (Bring Your Own Model): Upload, deploy, and manage your custom models.

  • AutoML: Automate model building and hyperparameter tuning.

  • ML Assisted Labeling: Simplify the data labeling process with machine learning models.

  • Pre-Trained Models: Access industry-specific pre-trained models for faster deployment.

  • Collaboration Tools: Work with your team seamlessly in real time.

Explore Matrice.ai Features

Learn more about how Matrice.ai can elevate your AI projects.

Need Help?

If you run into any issues or have questions, explore our Support Center or get in touch with our support team for assistance.

Common Issues:
  • Access keys not working? Ensure you've set them up correctly.
  • Deployment errors? Make sure your model files meet the platform’s format requirements.

That’s it! You’re all set to begin your AI journey with Matrice.ai. Happy coding!