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Deepen AI - Enterprise
Deepen AI
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Deepen AI Overview
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Saas & On Premise
Data Management
Data Management Overview
Creating a dataset
Create a dataset profile
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Adding a user
Embed labeled dataset
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Export labels
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Access token for APIs
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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
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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
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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
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Scene Labeling
Overview: A scene label is a behavior, or an event, or an action by an object or a scene in the sequence.
Steps to enable scene labeling:
    1.
    To start enabling scene labeling, upload a dataset as a sequence datasets or video that is not split into frames. By checking the "use video directly instead of splitting into frames" option, it will not the video into frames and rather upload the entire video.
    2.
    Create a category under scene labeling. Ex: cut in
    3.
    Clicking on the New Scene Label button at the bottom of the editor creates a new label from the user's current frame with the selected category. Ex: cut in:1
Steps to create a scene label:
    1.
    Click on the label name or track selects the label and will enable the "Start Scene" and "End Scene" buttons.
    2.
    Navigating to the desired frame and clicking on the "End Scene" buttons will extend the track from the already existing start point to the selected frame.
    3.
    Upon selecting the frame number below the already existing frame and click on the "Start Scene" button extends the track to the left towards the user's new start frame.
    4.
    Click on label or track selects the labels which enable the user to click on the edges of the track and drag towards the user's desired frame.
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