get_datasets
returns all Datasets in a list.get_dataset_by_name
returns a specific Dataset by its unique namecreate_dataset
method of the Client class. Therefore, you have to specify a Dataset name and an optional short description. In this example we use the owner ID of our Dummy Project. create_dataset
returns the newly created Datasetcreate_images_from_urls
method of the Client class helps you to add Images to your Datasets. The methods requires a List of image URLs and a Dataset ID.create_images_from_urls
returns a list of errors that may have occurred during the Image upload.add_dataset
method of the Client class enables you to connect a Dataset to a Project. This method requires a respective Dataset ID and Project ID. Therefore, the example below fetches these objects before it executes the add_dataset
method:add_dataset
returns True
if connecting the Dataset was successfulremove_dataset
method of the Client class allows you to remove a Dataset from a DataGym.ai Project. This method requires a Dataset ID and Project ID. Therefore, the example below fetches these objects before it executes the remove_dataset
method:remove_dataset
returns True
if removing the Dataset was successfulget_images_by_name
method can reduce the effort of searching for these images.get_images_by_name
returns a list of Images that match the search term