Recordings and Datasets

Sample recordings

Recording	Screenshot	Description	Usage	Size	Sensor	Data format	Duration
spinner.raw		Turning Spinner	Designer 3D Data Viewer	207.9 MB	GEN 3.0	EVT2	5 s
spinner.dat		Turning Spinner	Designer Dat File Reader Sample	413.2 MB	GEN 3.0	DAT	5 s
hand_spinner.raw		Turning 3-Blade Hand Spinner	Designer 3D Data Viewer	46.9 MB	GEN 3.1	EVT2	5 s
laser.raw		High-speed laser motion	Metavision Player	326.2 MB	GEN 4.1	EVT3	3 s
80_balls.raw		Falling 80 balls	SDK Analytics Counting Sample	19.2 MB	GEN 3.0	EVT2	6.3 s
195_falling_particles.raw		Falling 195 particles of different sizes	SDK Analytics PSM Sample	77.3 MB	GEN 3.1	EVT2	32 ms
monitoring_40_50hz.raw		Object vibration at 40 and 50Hz	SDK Analytics Vibration Sample	156.8 MB	GEN 3.0	EVT2	6 s
sparklers.raw		High-speed scatter-like motion of small particles	SDK Analytics Spatter Tracking Sample	2 MB	GEN 3.0	EVT2	95 ms
200_jets_at_200hz.raw		200 jets	SDK Analytics Jet Monitoring Sample	2.3 MB	GEN 3.1	EVT 2	2 s
traffic_monitoring.raw		Cars moving on a highway (static camera)	SDK Analytics Generic Tracking Sample SDK ML Detection and Tracking Pipeline	70.3 MB	GEN 3.0	EVT2	28 s
pedestrians.raw		Pedestrians	SDK CV Optical Flow Sample	183.7 MB	GEN 4.1	EVT3	30 s
driving_sample.raw		Driving on a street road (moving camera)	SDK Analytics Generic Tracking Sample SDK CV Optical Flow Sample SDK ML Detection and Tracking Pipeline	352.2 MB	GEN 4.1	EVT3	12.5 s
box.zip		Camera moving around a box	SDK CV3D Model 3D Tracking Sample	645.1 MB	GEN 3.1	EVT2	28.6 s
cube.zip		Camera moving around a cube	SDK CV3D Model 3D Tracking Sample	378.3 MB	GEN 3.1	EVT2	17.7 s
marker.zip		Camera moving around a marker	SDK CV3D Model 3D Tracking Sample	339.3 MB	GEN 3.1	EVT2	22.3 s

Datasets

Dataset	Application	Sensor	Resolution	Size	Format
1 Megapixel Automotive Detection	Automotive detection	Gen 4.0	1280×720	1.6T compressed 3.5T uncompressed	Recording in DAT format Labels in numpy format
HVGA ATIS Corner	Corner detection	Gen 3.0 ATIS	480×360	6G compressed 11G uncompressed	Recording in DAT format
GEN1 N-CARS	Car classification	Gen 1.0	crops from 304×240	280M compressed	Recording in DAT format
GEN1 Automotive Detection	Automotive detection	Gen 1.0	304×240	200G compressed 750G uncompressed	Recording in DAT format Labels in numpy format
Simplified mini-dataset	ML Quick Start Tutorial	Gen 4.0	1280×720	24G uncompressed	Recording in DAT format Labels in numpy format

Precomputed Datasets

Those datasets were precompiled in an HDF5 file format for faster training and smaller disk usage.

Dataset	Preprocessing	Sensor	Resolution	Size	Format
Gen 4 automotive dataset	Event Cube	Gen 4.0	1280×720 down to 640x360	211.3G	HDF5 Labels in numpy format
Gen 4 automotive dataset	Multi Channel Timesurface	Gen 4.0	1280×720 down to 640x360	288.4G	HDF5 Labels in numpy format
Gen 4 automotive dataset	Histograms	Gen 4.0	1280×720 down to 640x360	86G	HDF5 Labels in numpy format
Gen 1 automotive dataset	Event Cube	Gen 1.0	304×240	59.3GB	HDF5 Labels in numpy format