How-to Guides

If you have a specific task in mind and are already familiar with LEIP Design, these guides contain more in-depth material than our tutorials. They will help you achieve an end result but may require you to adapt steps to fit your specific requirements.

Bring Your Own Data (BYOD): How to integrate your own dataset into a LEIP Design recipe.

GRDB Model Training and Optimization: How to train multiple candidate recipes, evaluate and select the best performer, and visualize predictions.

From Classifier GRDB to Deployable Artifacts: A step-by-step guide to loading a recipe from the Classifier GRDB, training the model, and generating deployable artifacts using LEIP Design.

Optimize: How to use the LEIP Design API to explore LEIP Optimize's compilation, quantization, and calibration parameters.

Explore Golden Volumes: How to select a recipe from the Golden Recipe Database (GRDB).

Setup Offline Mode: How to configure LEIP Design for offline use, ensuring all necessary components are cached locally for use without a network connection.

Ingest dataset from FiftyOne: How to ingest a dataset hosted in FiftyOne into your LEIP recipe.