Import & Upload Data
Import and upload data
Shows how to set up your data and bring it into Labelbox Catalog, either by importing or integrating with a database or other source.
To upload data to Labelbox, you’ll need to create a dataset and import your data as data rows into that dataset.
Individual data assets are stored in data rows; you upload and associate a variety of annotations , such as labels , metadata, predictions, custom metrics, and more. Individual data rows are identified using global keys unique to your workspace.
There are several ways to do this; you can:
- Set up data integrations through Census with remote sources, such as relational databases (RDBMS), data warehouses, or data lakes.
- Import data rows from local file locations or cloud storage buckets.
- Use the SDK to upload data rows, assets, and annotations.
Common tasks
Here are the most common data import tasks:- Create a dataset
- Upload local files
- Import from URLs
-
Upload data from cloud storage
- Amazon Web Services (AWS) storage (S3)
- Google Cloud Storage (GCS)
- Microsoft Azure storage
- Python SDK tutorials & examples:
-
Integrate with remote data
- Set up Census integration to import from more than twenty (20) different data sources.
- Legacy connectors:
Data types & import specs
The following data types can be imported.| Name | Kinds | SDK Import specifications |
|---|---|---|
| Images | PNG, JPEG, BMP | Image import format |
| Video | MP4 | Video import format |
| Text | TXT (UTF-8) | Text import format |
| Conversational text | TXT (UTF-8) | Conversational text import format |
| Geospatial imagery | Tile Map Server | Geospatial import format |
| Simple tiled | Tile Map Server | Simple tiled import format |
| Audio | MP3, WAV | Audio import format |
| Documents | Documents import format | |
| HTML | HTML | HTML import format |