Tagging Mode
Draw bounding boxes and classify road assets
Overview
Tagging Mode allows you to draw bounding boxes around road assets in video frames and classify them with AI assistance. Tagged assets are stored with GPS coordinates and can be exported for ML training or used as your road asset inventory.
Entering Tagging Mode
To start tagging assets:
Keyboard
Press T to toggle tagging mode
Click
Click the Tag button in the video toolbar
Drawing Bounding Boxes
Click and drag on the frame to draw a box around an asset:
- Click where you want to start the box (corner)
- Drag to the opposite corner while holding the mouse button
- Release to complete the box (minimum size: 2% of frame)
Box colors:
- Dashed blue: Currently drawing
- Solid green: Saved boxes
- Solid blue: Selected box
Managing boxes:
- Click a box to select it
- Click the red X to delete a selected box
- Double-click to open classification modal
Road Side Detection
The road side is automatically detected based on box position:
Left Hand Side
Center X < 35%
Road Center
35% ≤ X ≤ 65%
Right Hand Side
Center X > 65%
A grid overlay on the canvas shows these zones. You can manually override the detected side in the classification modal.
Asset Classification
When you select a box, the classification modal opens with these fields:
Asset Type
Over 40 types available:
- Traffic signs (warning, regulatory, guide)
- Road markings (lines, symbols)
- Poles and posts
- Barriers and guardrails
- Drainage structures
- And more...
Condition
- Good
- Fair
- Poor
- Very Poor
Additional Fields
- GPS coordinates (auto-filled from video)
- Road side (LHS/CENTER/RHS)
- Chainage (position on road)
- Notes (free text)
- Sign code/description (for traffic signs)
AI-Assisted Classification
When you select a bounding box, AI automatically analyzes the cropped image:
What AI provides:
- Suggested asset type
- Confidence score (0-100%)
- Extracted text (for signs)
- Sign code matching (for traffic signs)
Note: AI suggestions are pre-filled in the form but you can always override them. The AI confidence score is saved with the asset for quality filtering.
Keyboard Shortcuts
| Key | Action |
|---|---|
| T | Enter/exit tagging mode |
| Esc | Exit tagging mode |
| Ctrl + S | Save all changes |
| ? | Show help modal |