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Deepen AI - Enterprise
Deepen AI
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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 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
2D Customer Review
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/Painting
3D Instance Segmentation/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 Customer Review
3D input/output
How to upload dataset for JSON Point Cloud type project
Data Output Format - 3D Semantic Segmentation
Data Output Format - 3D Instance Segmentation
Quality Assurance
Issue Creation
Automatic QA
Calibration
Calibration
Calibration FAQ
Data Collection for Camera intrinsic Calibration
Camera Intrinsic calibration
Data Collection for Lidar-Camera Calibration
Lidar Camera Calibration
Lidar-Camera Calibration(Old)
Data Collection for Vehicle-Camera Calibration
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 for Vehicle-3D Lidar calibration
Data Collection for Vehicle-2D Lidar calibration
Vehicle Lidar (3D and 2D) Calibration
Data Collection for Non Overlapping Camera Calibration
Non-Overlapping-Camera Calibration
Multi Sensor Visualization
Data Collection for LiDAR-LiDAR Calibration
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
IMU Vehicle Calibration
Data collection for vehicle radar calibration
Vehicle radar calibration
Calibration Optimiser
Calibration list page
API Reference
Introduction and Quickstart
Datasets
Issues
Tasks
Process uploaded data
Download Given DatasetIds labels
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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Export labels
Overview: Users can export labels using export labels by using different methods. Steps to export data:
  1. 1.
    Labels that are done can be downloaded from the tool in JSON format.
  2. 2.
    Only labels which are marked as done are exported as JSON files.
  3. 3.
    Labels: Labels in the last pipeline stages will be downloaded. (Files should be marked as done)
  4. 4.
    Labels by file names: Download labels for all label types from the last pipeline stage, with the file name as the key in JSON format.
  5. 5.
    Customize your export: Files can also be downloaded by selecting particular frames, particular annotations, categories, attributes, types etc.(Files need not be marked as done if labels are downloaded using these).
  6. 6.
    Video for downloading paint labels https://drive.google.com/file/d/1EUzTqbRlyW85ZMgOJS74jCPTXk70vhH0/view?usp=sharing​
If the labels are not marked as done empty json file will be downloaded when clicked on Labels.
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Last modified 10mo ago
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