How to Create a New Dataset
You can select Default Storage to upload data to your private storage space on TensorBay,or select the Cloud Storage Authentication to authorize TensorBay to manage your data stored on other cloud servers.

Create a New Dataset

    Click TensorBay on the top navigation bar to enter My Datasets, and select Create a New Dataset in the new dataset drop-down box to create a dataset. By clicking TensorBay, an individual developer user will enter the My Datasets page by default, whereas a team user will enter the Team Datasets page.

Enter the Dataset Name and Alias (Optional)

After entering the dataset name and its alias, the URL including the dataset name will be generated automatically. Both the dataset name and alias can be changed.

Select Data Storage Configuration

Select or create your data storage method and upload the data to the corresponding storage space
Note: this will take up your default storage or authorized storage space

Add Data Storage Configuration

If the storage configuration in the drop-down box does not meet your needs, you can click Add Data Storage Configuration to add a suitable storage method.
Developers are only supported to select Default Storage to upload data to your private storage space on TensorBay (note: this will take up your default storage)
In addition to Default Storage, team members also support to choose Cloud Storage Authentication. TensorBay will read and manage your data odata on your other cloud storage platforms after being authorized, which will not occupy your default storage space but will occupy your authorized storage space.
After filling in the corresponding configuration information, you can use your data on Alibaba Cloud OSS, Amazon S3 and Azure Blob by authorization. For details, please refer to Manage Data on the Cloud Storage Platforms.

Choose Visibility

    Public indicates that the data in your dataset will be open to the public. Anyone can search, view, retrieve, and browse the data of this public dataset. Graviti supports your contribution to the AI community and will provide unlimited free storage capacity for your open datasets.
    Private indicates that this is your private dataset, and no one has access to it. Only you can control the access of the dataset. If you create a private team dataset, by default, your team members can search for and view basic information about the dataset, and you can control who can view, use, edit, or manage the data in the team.

Add Data

    After clicking Create, you will enter the Create Draft page. The draft is based on the default (main) branch.
    Select Upload Files from Local. You can drag the local folders into the page, or select multiple data files to upload in the local directory. After adding the data, click Upload, and TensorBay will read the data from your local and transfer it to your private cloud storage space. Please do not leave the upload interface before the process is finished, otherwise, the transfer of the remaining data will fail.
    With Upload with Developer Tools, you can upload data files and annotation data with Python SDK or Open API. This method supports the uploading, editing, and managing of fusion datasets, continuous data, and annotations. For details, see How to Use Developer Tools.

Commit a Dataset

    After completing the data upload, click Back to Commit, enter Commit message and Tag as the description of the version, click Confirm to publish the new version, and complete the Commit action. The version cannot be modified after the release.
Only committed datasets can be used for labeling, merging, filtering, training, and so on.
    If you do not want to publish the draft, the dataset will remain as a draft. Return to the Dataset Details page and click Manage Data, you can enter the Data List page to continue editing your data. You can also click Enter to Draft and enter the Draft List page to choose a draft and modify the dataset details.
    Click Manage Data to enter the Data List page and continue to edit your data. After editing the dataset version, click Commit.
Last modified 1mo ago