Thermal and infrared detection
Thermal and near-infrared footage annotated to the same schema as RGB.
Overview
Thermal and near-infrared capture of people, vehicles and equipment, annotated to the same class schema as the RGB sets so fusion models can train on both without a mapping layer.
Specification
- Sensors
- LWIR and NIR
- Resolution
- 640x512 thermal
- Conditions
- Night, fog, smoke
- Calibration
- Per-session
Sample
Illustrative sample. It shows the structure, fields and metadata of this dataset with invented values, not real recordings or records. A real sample pack is sent on request.
| file | duration_s | fps | resolution | camera | scene | label_summary | annotator_id | qa_status | consent_ref |
|---|---|---|---|---|---|---|---|---|---|
| sample_0001.mp4 | 12.0 | 30 | 1920x1080 | front | indoor, daylight | 1 action | ann_0080 | accepted | consent_04100 |
| sample_0002.mp4 | 30.5 | 30 | 1920x1080 | cabin | vehicle, night | 2 events | ann_0084 | accepted | consent_04101 |
| sample_0003.mp4 | 8.2 | 60 | 1280x720 | side | indoor, low light | 1 action | ann_0088 | accepted | consent_04102 |
| sample_0004.mp4 | 45.0 | 25 | 3840x2160 | overhead | outdoor | 3 tracks | ann_0092 | accepted | consent_04103 |
| sample_0005.mp4 | 20.4 | 30 | 1920x1080 | front | indoor | 1 gesture | ann_0096 | accepted | consent_04104 |
Quality assurance
- Cross-modality schema check
- Calibration verification
- Reviewer sampling
More in the catalogue
Full catalogue
Driver monitoring video
In-cabin RGB and infrared footage of fatigue and distraction states.
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Gesture and action video
Hand gestures and body actions recorded across body types and lighting.
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Person tracking video
Multi-camera footage with identity-consistent tracking through occlusion.
Learn moreWant a real sample before you commit?
The sample above shows the structure. We also send a representative slice that includes the hard cases, plus the QA report and licence terms. No call required.