As a platform for unstructured data management, TensorBay provides services in data hosting, version control, data visualization, and collaboration. You can also integrate TensorBay into your own pipeline using developer tools.
Secure Data Hosting in the Cloud
Manage your raw data, metadata, annotations online, and streamline data hosting. Diverse annotation types are supported
Upload data locally or migrate data from your cloud to TensorBay. Upgrade your storage space anytime
Support mainstream data annotation types, such as Classification, Box, Polygon, Polyline, Cuboid, etc.
Handle datasets with complex structures, such as time-series datasets and fusion datasets
Utilize visualization widgets that are compatible with common data formats and annotation types. Multiple previews of data distribution are provided without having to download the dataset or write code
Process image, video, and various lidar data types, such as .pnts, .pcd, .bin, .las, and .ply
Browse various types of annotations, such as Classification, 2D Box, 2D Polygon, 2D Polyline, and 3D Box
View the distribution of data labels and attributes in various presentations such as lists, histograms, pie charts, etc. to meet your preference
Embed our visualization widgets into your own page with just one line of code
For rapid integration of your data and pipeline, Graviti provides developer tools including SDK, CLI, and API with specific documentation and use cases
Use PythonSDK and OpenAPI to create new datasets; upload, manage, and read data