Deepen AI - Enterprise
Deepen AI
  • Deepen AI Overview
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  • Data Management
    • Data Management Overview
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  • 3D input/output
    • JSON input format for uploading a dataset in a point cloud project.
    • How to convert ROS bag into JSON data for annotation
    • Data Output Format - 3D Semantic Segmentation
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  • Quality Assurance
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  • Calibration
    • Calibration
    • Charuco Dictionary
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    • Data Collection for Camera intrinsic Calibration
    • Camera Intrinsic calibration
    • Data Collection for Lidar-Camera Calibration (Single Target)
    • Lidar-Camera Calibration (Single target)
    • Data Collection for Lidar-Camera Calibration (Targetless)
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    • Multi Target Lidar-Camera Calibration
    • Lidar-Camera Calibration(Old)
    • Vehicle-Camera Calibration
      • Data Collection for Vehicle-Camera Calibration
      • Vehicle Camera Targetless Calibration
      • Data collection for lane based targetless vehicle-camera calibration
      • Lane based Targetless Vehicle Camera Calibration
    • Data Collection for Rough Terrain Vehicle-Camera Calibration
    • Rough Terrain Vehicle-Camera Calibration
    • Calibration Toolbar options
    • Calibration Profile
    • Data Collection for Overlapping-Camera Calibration
    • Overlapping-Camera Calibration
    • Data collection guide for Overlapping Camera Calibration (Multiple-Targets)
    • Overlapping Camera Calibration (Multiple-Targets)
    • Data Collection for Vehicle-3D Lidar calibration
    • Data Collection for Vehicle-2D Lidar calibration
    • Vehicle Lidar (3D and 2D) Calibration
    • Data Collection for Vehicle Lidar Targetless Calibration
    • Data Collection for IMU Lidar Targetless Calibration
    • Vehicle Lidar Targetless Calibration
    • Data Collection for Non Overlapping Camera Calibration
    • Non-Overlapping-Camera Calibration
    • Multi Sensor Visualization
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    • LiDAR-LiDAR Calibration
    • Data Collection for IMU Intrinsic calibration
    • IMU Intrinsic Calibration
    • Data Collection for Radar-Camera Calibration
    • Radar-Camera Calibration
    • Data Collection for IMU Vehicle calibration
    • Lidar-IMU Calibration
    • IMU Vehicle Calibration
    • Data Collection for vehicle radar calibration
    • Vehicle radar calibration
    • Calibration Optimiser
    • Calibration list page
    • Data collection for rough terrain vehicle-Lidar calibration
    • Rough terrain vehicle Lidar calibration
    • Surround view camera correction calibration
    • Data Collection for Surround view camera correction calibration
    • Data Collection for Lidar-Radar calibration
    • Lidar Radar Calibration
    • Vehicle Lidar Calibration
    • API Documentation
      • Targetless Overlapping Camera Calibration API
      • Target Overlapping Camera Calibration API
      • Lidar Camera Calibration API
      • LiDAR-LiDAR Calibration API
      • Vehicle Lidar Calibration API
      • Global Optimiser
      • Radar Camera Calibration API
      • Target Camera-Vehicle Calibration API
      • Targetless Camera-Vehicle Calibration API
      • Calibration groups
      • Delete Calibrations
      • Access token for APIs
    • Target Generator
  • API Reference
    • Introduction and Quickstart
    • Datasets
      • Create new dataset
      • Delete dataset
    • Issues
    • Tasks
    • Process uploaded data
    • Import 2D labels for a dataset
    • Import 3D labels for a dataset
    • Download labels
    • Labeling profiles
    • Paint labels
    • User groups
    • User / User Group Scopes
    • Download datasets
    • Label sets
    • Resources
    • 2D box pre-labeling model API
    • 3D box pre-labeling model API
    • Output JSON format
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  1. Data Management

Data Streaming

PreviousAccess token for APIsNextReports

Last updated 3 years ago

Users can now stream data from their cloud buckets directly into the app without having to upload it. Whatever state of files users have in the bucket is automatically synced with the corresponding files in users datasets. With this now, users can also add or delete files from datasets by simply adding/deleting them in your bucket.

Users can create a Data stream by clicking on create Data stream button on the data streams page.

Images and Point clouds(JSON Format) are supported as of now, and we are working on adding more file type supports.

User needs to choose which cloud provider they need and then provide few details which are bucket name(bucket where your data is stored), folder name(location of the folder that will be synced to create a dataset present within the bucket), credential file(a json file with the private key of one user that can enable us to authenticate to your bucket location) and optionally user can provide a dataset configuration profile which will be applied to all the datasets that are created using this data stream configuration.

Once a data stream configuration is created, you can click on the "Sync bucket" option to sync your datasets with your bucket instantly. Post that you can use this dataset like normal datasets and it has all the native functionalities that are already supported by Datasets.