Keywords AI now supports running experiments with image-based datasets, enabling you to test and evaluate your visual prompts with comprehensive data analysis. This feature allows you to assess how your models perform across different image inputs and compare results systematically.

1

Create a dataset with images

Before running experiments, you need to create a dataset that includes image data. You can accomplish this through two methods:

2

Configure your experiment with the testset

Once your image dataset is ready, you’ll need to set up your experiment:

  1. Prepare your prompt: Build and refine your prompt template in the Prompts section
  2. Import prompt versions: Add the relevant prompt versions to your experiment for comparison
  3. Upload the testset: Attach your image-enabled testset to the experiment

Important: Ensure that all variable names in your prompt template correspond exactly to the column headers in your testset. Mismatched variable names will prevent the experiment from running correctly.

This step establishes the connection between your prompt logic and the test data, enabling the system to process each image-text combination systematically.

3

Run the experiment

With your dataset and prompts configured, you’re ready to run the experiment:

  1. Launch experiment: Click the Run Experiment button to begin processing
  2. Monitor progress: Track the experiment’s progress through the interface
  3. Analyze results: Review the outputs, compare prompt versions, and analyze performance metrics

The experiment will process each image in your dataset against your prompt variations, providing comprehensive results for analysis and comparison.