How to Get Started with Encord Active

Encord Active is an incredible open-source toolkit designed to supercharge your model’s performance by enabling you to test, validate, and curate your data efficiently. In this blog post, we’ll walk you through the installation and quick start process, along with troubleshooting tips. Let’s embark on this journey towards more robust AI models!

What is Encord Active?

Encord Active is an open-source toolkit that helps you:

• Test, validate, and evaluate your models with advanced error analysis
• Generate model explainability reports
• Surface, curate, and prioritize the most valuable data for labeling
• Search through your data using natural language (beta feature)
• Find and fix dataset errors and biases (e.g., duplicates, outliers, label errors)

Installation

The simplest way to install Encord Active is through pip in a suitable virtual environment. Follow these steps:

pip install encord-active

We recommend setting up a virtual environment using venv by running:

python3.9 -m venv ea-venv
source ea-venv/bin/activate
pip install encord-active

Make sure you have Python 3.9 installed. For more specific installation instructions, refer to the documentation.

Quickstart

To get off the ground running, source your environment and execute the following command to download a small dataset and launch the Encord Active App:

encord-active quickstart

Alternatively, if you prefer using Docker, you can run:

docker run -it --rm -p 8000:8000 -v $PWD:data encord/encord-active quickstart

After launching the UI, explore various workflows documented in the workflow documentation.

Understanding Encord Active

Think of Encord Active as a seasoned gardener tending to a diverse garden (your models, datasets, and labels). Just like a gardener identifies which plants need extra attention or resources, Encord Active helps you pinpoint areas in your data and models that require improvement. As you nurture your garden with special care (curate your data, refine labels, evaluate models), you’ll see blooms of higher accuracy and improved model performance emerge!

Troubleshooting Tips

If you encounter any issues during the installation or usage of Encord Active, here are some helpful troubleshooting strategies:

• Ensure you are using Python 3.9 or above. Verify your Python version with python --version.
• If pip fails, ensure that your internet connection is working and try reinstalling pip with python -m ensurepip.
• For installation or operational discrepancies, consult the documentation for detailed guidance.
• If you need support, feel free to connect with our community on Slack.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Conclusion

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.

Share Your Experience

Once you get accustomed to utilizing Encord Active, we’d love to hear how it’s enhancing your projects. Your feedback and shared experiences can dramatically aid in refining this robust toolkit!