An easy way to organize your training dataset
With DS2 DATASET, you can easily perform the data set configuration for training, which is the preparation stage of AI development.
With DS2 DATASET, you can easily perform the data set configuration for training, which is the preparation stage of AI development.
Existing data can be configured as a data set for training by directly uploading data and importing it through DB server.
* To import your data through DB server, please submit an inquiry.
Even if you don't have any existing data, you can use Public Data to configure a dataset for training and utilize it for artificial intelligence development.
When using existing data or utilizing public data, you can combine multiple data to build a data set for training, or perform basic pre-processing by using the automatic data pre-processing function.
In order to continuously advance artificial intelligence, data generated through artificial intelligence operation is added to the initial training data and accumulated for retraining.
* Data accumulation for AI learning is only available with SKYHUB AI.
Build a data pipeline for MLOps at DS2.ai with Python. SDK gives you access to all of the processes from uploading and labeling data, to training and deploying the artificial intelligence model.
Learn more →
from ds2 import DS2
ds2 = DS2(apptoken=“s2234k3b4”)
ds2.create_dataconnector(
"people.zip",
has_label_data=True
)
Existing data can be configured as a data set for training by directly uploading data and importing it through DB server.
* To import your data through DB server, please submit an inquiry.
Even if you don't have any existing data, you can use Public Data to configure a dataset for training and utilize it for artificial intelligence development.
When using existing data or utilizing public data, you can combine multiple data to build a data set for training, or perform basic pre-processing by using the automatic data pre-processing function.
In order to continuously advance artificial intelligence, data generated through artificial intelligence operation is added to the initial training data and accumulated for retraining.
* Data accumulation for AI learning is only available with SKYHUB AI.
Build a data pipeline for MLOps at DS2.ai with Python. SDK gives you access to all of the processes from uploading and labeling data, to training and deploying the artificial intelligence model.
Learn more →
from ds2 import DS2
ds2 = DS2(apptoken=“s2234k3b4”)
ds2.create_dataconnector(
"people.zip",
has_label_data=True
)