Recordings and Datasets
Sample recordings
Those recordings are available in multiple formats: RAW (EVT2 or EVT3), DAT and HDF5 event files.
Datasets
Dataset |
Application |
Sensor |
Resolution |
Size |
Format |
---|---|---|---|---|---|
Automotive detection |
Gen4.0 |
1280×720 |
1.6T compressed 3.5T uncompressed |
Recording in DAT format Labels in numpy format |
|
Corner detection |
Gen3.0 ATIS |
480×360 |
6G compressed 11G uncompressed |
Recording in DAT format |
|
Car classification |
Gen1.0 |
crops from 304×240 |
280M compressed |
Recording in DAT format |
|
Automotive detection |
Gen1.0 |
304×240 |
200G compressed 750G uncompressed |
Recording in DAT format Labels in numpy format |
|
Gen4.0 |
1280×720 |
24G uncompressed |
Recording in DAT format Labels in numpy format |
Precomputed Datasets
Those datasets were precompiled in an HDF5 tensor file format for faster training and smaller disk usage.
Dataset |
Preprocessing |
Sensor |
Resolution |
Size |
Format |
---|---|---|---|---|---|
Event Cube |
Gen4.0 |
1280×720 down to 640x360 |
211.3G |
HDF5 Labels in numpy format |
|
Multi Channel Timesurface |
Gen4.0 |
1280×720 down to 640x360 |
288.4G |
HDF5 Labels in numpy format |
|
Histograms |
Gen4.0 |
1280×720 down to 640x360 |
86G |
HDF5 Labels in numpy format |
|
Event Cube |
Gen1.0 |
304×240 |
59.3GB |
HDF5 Labels in numpy format |