def create_dataset(self, name: str, team: Optional[str] = None) -> RemoteDataset:
def create_dataset(self, name: str, team: Optional[str] = None) -> RemoteDataset:
Datasets are collections of images or videos to be analyzed by your team. So before you can get started with annotations and inference models, you first need to create a dataset:
from darwin.client import Client
# Authenticate first
client = Client.local()
dataset = client.create_dataset('my-first-dataset')
print(dataset.name)
Do have in mind that created datasets are RemoteDataset
s and that invoking list_local_datasets
after creating one will not return it in the list. Instead you should use list_remote_datasets
.