The Soft-Biometric in Surveillance (SoBiS) dataset was collected to provide a unified dataset
to evaluate the following four computer vision tasks:
person re-identification and
soft-biometric attribute recognition.
The dataset was recorded in a camera network at
Fraunhofer IOSB and contains many challenges that computer vision algorithms and
surveillance applications have to deal with.
Video data was recorded by seven cameras on three days and contains 31 volunteers which
reappear multiple times. Scenes range from low complexity with only one person in the camera
network to high complexity witch 15 or more persons in the recorded area.
For a more detailed description of the dataset please see the corresponding publication
The dataset contains the following items:
Video data for all seven cameras (no sound)
Manual person annotations every 5 frames
Consistent person IDs over the entire dataset
Clothing-specific IDs to indicate when a person altered their visual appearance
Soft-biometric attribute annotation for each person track
Camera calibration information
A set of person detections to start from
We are obligated to keep track of who obtains the dataset and ensure that it is only used for
academic purposes. Thus, the dataset is only available by request.
To request a download link for the dataset please send an email to
Please cite this dataset as:
A Soft-Biometrics Dataset for Person Tracking and Re-Identification
A. Schumann, E. Monari
in Proceedings Advanced Video and Singal Based Surveillance (AVSS), 2014