✒
✒
✒
✒
Deepen AI - Enterprise
Deepen AI
Search…
Deepen AI Overview
FAQ
Saas & On Premise
Data Management
Data Management Overview
Creating a dataset
Create a dataset profile
Auto Task Assignments
Task Life Cycle
Tasks Assignments
Creating a group
Adding a user
Embed labeled dataset
Export
Export labels
Import profile
Import profile via JSON
Access token for APIs
Data Streaming
2D/3D editors
Editor Content
Sequence labeling timeline
AI sense (ML-assisted labeling)
Assisted 2d Segmentation
Scene Labeling
2D Editor
2D Editor Overview
2D Bounding Boxes
2D Polyline/Line
2D Polygon
2D Points
2D Semantic Painting
3D Bounding boxes on images
2D ML-powered Visual Object Tracking
2D Shortcut Keys
3D Editor
3D Editor Overview
3D Bounding Boxes
Show Ground Mesh
Secondary Views
Camera Views
Hide/UnHide Points in 3D Lidar
3D Lines
3D Polygons
3D Semantic Segmentation
3D Instance Painting
Fused Cloud
3D Segmentation (Smart Brush)
3D Segmentation (Polygon)
3D Segmentation (Brush)
3D Segmentation (Ground Polygon)
3D Painting (Foreground/Background)
3D Segmentation(3D Brush/Cube)
Label Set
3D Shortcut Keys
3D input/output
Data Output Format - 3D Semantic Segmentation
Data Output Format - 3D Instance Segmentation
How to upload dataset for JSON Point Cloud type project
Quality Assurance
Issue Creation
Automatic QA
Customer Review
Calibration
Calibration
Data Collection for Camera intrinsic Calibration
Camera Intrinsic calibration
Data Collection for Lidar-Camera Calibration
Lidar-Camera Calibration
Data Collection for Vehicle-Camera Calibration
Vehicle-Camera Calibration
Calibration Toolbar options
Calibration Profile
Data Collection for Stereo-Camera Calibration
Stereo-Camera Calibration
Data Collection for Vehicle-Lidar calibration
Vehicle Lidar Calibration
Data Collection for Non Overlapping Camera Calibration
Multi Sensor Visualization
Calibration Optimiser
Non-Overlapping-Camera Calibration
Multi-LiDAR Calibration
Data Collection for Multi-Lidar Calibration
API Reference
Introduction and Quickstart
Datasets
Issues
Tasks
Processed upload data
Download Given DatasetIds labels
Download labels
Labeling profiles
Paint labels
User groups
User / User Group Scopes
Download datasets
Label sets
Resources
2D box pre-labeling model API
Output JSON format
Powered By GitBook
Data Streaming
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.
Data Management - Previous
Access token for APIs
Next - 2D/3D editors
Editor Content
Last modified 22d ago
Export as PDF
Copy link