Object Detection Admin

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Total Images

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Labeled

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Classes

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Groups

System Health

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Dataset Overview

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Class Distribution

Quick Actions

Sample Data Populate all 8 detection scenarios with realistic demo data

Creates sessions, detections, vehicles, plates, crowd frames, infrastructure assets and animal observations — ready to explore in every admin section immediately.

Coverage Drift

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Scenario Quality

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📡 Live Detection Session

Detection Config

Session Name

Alert Threshold

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FPS

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Dirty Ratio

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Frames

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Alerts

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Objects Now

Active Sessions

Session ID	Status	Frames	Dirty %	Alerts	Actions
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📋 Detection Results

Time	Dirty %	Alert Level	Objects	GPS	Conf
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🚨 Alerts

Time	Type	Severity	Dirty %	Location	Ack
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Images –

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🖼

Select an image to start labeling

Click to segment · Shift+click = background point

Active Class

Click = foreground · Shift+click = background
Auto-segments on each click.

Mask cleanup:

Mask Preview

Score: —

Annotations (0)

Session Replay

Driver View

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Frame Info

Select a frame on the slider

Confidence Calibration

Per-group confidence distributions from live detection. Accept the recommended threshold to update the group's detection sensitivity.

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Alert Zones

Geographic polygons with custom alert thresholds. Detections inside a zone use the zone's threshold instead of the global one.

Name	Alert Threshold	Points	Actions
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Zone Map Click on the map to draw zone polygon points, then save

Detection Profiles

Named scenario presets that control which models and post-processors are active (color extraction, plate reading, vehicle classifier, crowd analytics). Attach a profile to a detection config to enable it.

Name	Scenario	Post-processors	Default	Actions
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Plate Statistics

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Total Reads

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Watchlist Hits

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Unique Plates

Watchlist

Plate Reads

Watchlist only

Plate	Confidence	Session	GPS	Time	Match	Crop
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Vehicle Analytics

By Type

By Color

By Subtype

Crowd Analytics

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Peak Persons

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Avg Persons

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Male %

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Female %

Density Grid (latest)

Recent Vehicle Observations

Type	Subtype	Color	GPS	Confidence	Time
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Total Assets

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Damaged / Faded

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Total Observations

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Asset Types

Assets by Type

Damaged / Faded Assets Condition score < 0.5

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Asset Inventory

Type	Label	OCR Text	Condition	Observations	GPS	First Seen
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Total Sightings

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Road Hazards

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Species

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Days Tracked

Sightings by Species

Recent Road Hazards Heavy Alert Triggered

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Animal Observations

Hazards only

Species	Road Hazard	Confidence	GPS	Session	Time
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🎬 Detection Scenarios

Each scenario card represents a saved DetectionConfig linked to a DetectionProfile. Click Start to launch a live simulation from the saved config. Click Stop to end it. Use Create Scenario Configs to auto-generate all 8 scenarios (requires seeded profiles and sample data).

Loading scenarios… click Create Scenario Configs if none appear.

Label Review

Classes

Groups

Detection Classes

ID	Name	Labels in Dataset	Actions
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Class Groups / Scenarios

Groups bundle classes for specific detection scenarios. Each group gets its own trained model.
Raise per-class confidence to fix car↔truck or debris↔branches confusion.

Camera Library

Save RTSP streams, video files, or webcam URLs for use in detection configs

⚙ Detection Configs

Configs store all detection settings (cameras, model, active classes, thresholds). The default config is auto-loaded when starting a session.

Train New Model

Dataset Directory

Base Model

Epochs

Batch

Img Size

Device (empty=auto, 0=GPU)

Patience (early stop)

Resume from checkpoint

Mosaic, copy-paste, label smoothing and inverse-frequency class weighting applied automatically. Fixes car↔truck and debris↔branches confusion.

📥 Use Detections for Training

Click ↻ to scan captured frames…

Auto-capture during detection

Automatically save every frame where objects are detected (no Start Capture needed). Applied to the next session you start.

Captured Frame Review

Dataset Statistics

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Training Progress

idle

Epoch 0 / 0 –

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mAP@50

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mAP@50-95

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cls loss

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seg loss

Training Log

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📜 Training Run History

#	Group	Base Model	Epochs	Progress	mAP@50	Status	Best Model	Actions
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🤖 Trained Models

Select a model to assign it to a group. The group's detection config will auto-use that model.