{code, data}

{code, ·}

Under construction

{·, data}

IPHD Dataset (2020)

IPHD dataset

More than 120K pairs of registered depth and thermal frames where to perform human detection. Bounding boxes are annotated in the color images (not provided).

Related publications

In case of using these data, please cite:


First Impressions V1 (2016)

More than 10,000 15-second videos segments collected from YouTube, annotated with the Big Five personality traits by AMT workers.

Related publications

In case of using these data, please cite:

  title={Chalearn lap 2016: First round challenge on first impressions-dataset and results},   
  author={Ponce-L{\'o}pez, V{\'\i}ctor and Chen, Baiyu and Oliu, Marc and Corneanu, Ciprian and Clap{\'e}s, Albert and Guyon, Isabelle and Bar{\'o}, Xavier and Escalante, Hugo Jair and Escalera, Sergio},   
  booktitle={European Conference on Computer Vision},   
  organization={Springer, Cham} 
  title={Chalearn joint contest on multimedia challenges beyond visual analysis: An overview},     
  author={Escalante, Hugo Jair and Ponce-L{\'o}pez, V{\'\i}ctor and Wan, Jun and Riegler, Michael A and Chen, Baiyu and Clap{\'e}s, Albert and Escalera, Sergio and Guyon, Isabelle and Bar{\'o}, Xavier and Halvorsen, P{\aa}l and others},   booktitle={2016 23rd international conference on pattern recognition (ICPR)},        

Tri-modal body segmentation dataset (2016)

The dataset features a total of 5724 annotated frames divided in three indoor scenes. Every person is annotated with a unique ID in the scene on a pixel-level in the RGB modality. For the thermal and depth modalities, annotations are transferred from the RGB images using a registration algorithm.

Related publications

In case of using these data, please cite:

  title={Multi-modal rgb--depth--thermal human body segmentation},   
  author={Palmero, Cristina and Clap{\'e}s, Albert and Bahnsen, Chris and M{\o}gelmose, Andreas and Moeslund, Thomas B and Escalera, Sergio},   
  journal={International Journal of Computer Vision},