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Deepen AI - Enterprise
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Deepen AI - Enterprise
Deepen AI
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
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 Camera-Lidar 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
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
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Export labels

Overview: Users can export labels using export labels by using different methods. Steps to export data:

  1. Labels that are done can be downloaded from the tool in JSON format.

  2. Only labels which are marked as done are exported as JSON files.

  3. Labels in the last pipeline stages will be downloaded when they Labels are downloaded without customization.

  4. Files can also be downloaded by selecting particular frames, particular annotations, categories, attributes, type etc

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Import profile
Last updated 2 months ago