Example Locate Order

To learn about the basics of creating an order, please refer to the quickstart guide.

A big part of image generation is to make coherent images without any visual glitches. Rapidata makes it easy to get feedback on what parts of the image the model messed up. In this example, we will create an order where annotators are asked to select the parts of the image where there are visual glitches.

from rapidata import RapidataClient, RapidataSettings

IMAGE_URLS = ["https://assets.rapidata.ai/eac11c3e-ad57-402b-90ed-23378d2ff869.jpg",
              "https://assets.rapidata.ai/04e7e3c6-5554-47ca-bdb2-950e48ac3e6c.jpg",
              "https://assets.rapidata.ai/91d9913c-b399-47f8-ad19-767798cc951c.jpg",
              "https://assets.rapidata.ai/d1cbf51d-7712-4819-96b4-20e030c573de.jpg"]


if __name__ == "__main__":

    rapi = RapidataClient()

    order = rapi.order.create_locate_order(
        name="Artifact detection example",
        instruction="Look close, find incoherent errors, like senseless or malformed objects, incomprehensible details, or visual glitches? Tap to select.",
        datapoints=IMAGE_URLS,
        responses_per_datapoint=35,
        settings=[RapidataSettings.alert_on_fast_response(2500)], # This is optional, it will alert you if the annotators are responding before 2.5 seconds
        validation_set_id="6768a557026456ec851f51f9" # in this example, the validation set has already been created
    ).run()

To preview the order and see what the annotators see, you can run the following code:

order.preview()

To open the order in the browser, you can run the following code:

order.view()