List of Datasets

Automotive

GEN1 Automotive Detection Dataset

Event-based object detection

Automotive GEN1 event recordings from French roads with manually annotated car and pedestrian bounding boxes.

Metadata: Complete Metadata needs review

Primary places to inspect, download, read about, or reproduce the dataset.

Download

Not reported

Code

Not reported

Supplementary

Not reported

Quick facts

Vehicle type
Automotive
Environment
Outdoor
Data origin
Real-world
Sensor count
1
Ground truth
Available
Calibration
Not reported
Annotations
Available

Sensor overview

High-level sensor availability before the detailed sensor records below.

Cameras

1 reported

IMUs

Not reported

GNSS

Not reported

LiDAR

Not reported

Radar

Not reported

Pitot tube

Not reported

Magnetometers

Not reported

Barometers

Not reported

UWB

Not reported

Ground truth

Reference scope, method, rate, coverage, and provenance.

Scope Method Reference system Count Rate Coverage Reference provenance
External
Measured using equipment independent of the platform’s normal onboard sensor pipeline.
Derived
Computed primarily from the dataset’s own recorded sensors.
Hybrid
Combines independent reference equipment with onboard measurements.
2D Manual annotation Not reported Not reported Not reported Partial · Cars and Pedestrians at Annotation Times, Subject to Size and Visibility Exclusions Reference provenance
External
Measured using equipment independent of the platform’s normal onboard sensor pipeline.
Derived
Computed primarily from the dataset’s own recorded sensors.
Hybrid
Combines independent reference equipment with onboard measurements.
Derived
Reference notes
Car and pedestrian bounding boxes from human labeling of same-sensor gray-level images at 1, 2 or 4 Hz; this is detection ground truth rather than a platform trajectory.

Calibration and synchronization

Reported calibration level, reproducibility signals, and supporting notes.

Level
Not reported
Processed parameters
Not reported
Raw calibration data
Not reported
Calibration targets
Not reported

Calibration data

Calibration reproducibility details are not reported.

Notes

Shared pixels avoid a calibration or rectification step for transferring image annotations to events; this does not establish a released calibration package.

Known or intentional limitations

Reported constraints and characteristics to check before using the dataset.

Gray-level measurements are not released.

Objects with bounding-box diagonals below 30 pixels are excluded.

Objects must be more than 75 percent visible; buses, trucks, large vehicles and two-wheelers are excluded.

Camera position varies slightly between mountings.

Cameras

gen1-event

Model
Gen1
Setup
Mono
Count
1
Effective cameras
1
Modality
Event
Resolution
304 x 240
Rate
Not reported
Shutter
Not Reported
Lens type
Not Reported
HFOV
Not reported
VFOV
Not reported
Notes
Asynchronous events in binary .dat files. Gray-level measurements used for manual annotation are excluded from the release; 1, 2 and 4 Hz describe annotation images rather than event sampling.

IMUs

Not reported

GNSS

Not reported

LiDAR

Not reported

Radar

Not reported

Pitot tube

Not reported

Additional sensors

Not reported

Annotations

Reported annotation availability and task support.

Availability
Available
Format
numpy
Class count
2
Semantic segmentation Not reported
Instance segmentation Not reported
Object detection Available
Optical flow Not reported
Depth ground truth Not reported

Citation

Citation key and BibTeX kept at the end of the page for reference.

Citation key
detournemire2020gen1

BibTeX

Not reported

Dataset corrections

Notice a specific issue after reviewing the page?

Report an inaccuracy