Example 1, Acceptable Use:
You are a researcher at a university. You use the dataset to perform benchmarking on algorithms you’ve developed. You publish the results. Your published paper includes small extracts of data taken from the dataset for purposes of illustration. Your paper provides the appropriate attribution to the Waymo Open Dataset.
Example 2, Acceptable Use:
You are a researcher at a technology company. You experiment on the dataset using internal systems that are not used to provide a product or service to customers. You develop algorithms, model definitions, and training code as a result of those experiments, and check them into those internal systems with the appropriate attribution to the Waymo Open Dataset. You submit those algorithms and model definitions to a conference for public review. You include the appropriate attribution to the Waymo Open Dataset. Your submission is accepted. You release the training code to let others replicate your results.
You are a researcher at another company. You find the publication interesting. You download the dataset from Waymo and train the published model definition against the dataset to see if you can confirm the results.
Example 3, Unacceptable Use:
You are an engineer at an autonomous vehicle company. You use the dataset to train a prototype object detection model for use on a vehicle at a test track. You use this trained model as a placeholder until you build a large enough internal dataset to train your model against.
Example 4, Unacceptable Use:
You train and fine-tune existing models based on the dataset. You use weights and biases from that model and deploy them in a system you intend to use for current or future customers.
