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https://github.com/jpanagos/consumers-bid

Code for the paper "A New Benchmark for Consumer Visual Tracking and Apparent Demographic Estimation from RGB and Thermal Images", by Panagos, I.-I.; Giotis, A.P.; Sofianopoulos, S. and Nikou, C., Sensors, 2023.
https://github.com/jpanagos/consumers-bid

age-estimation consumer-tracking datasets gender-estimation multi-object-tracking pytorch

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Code for the paper "A New Benchmark for Consumer Visual Tracking and Apparent Demographic Estimation from RGB and Thermal Images", by Panagos, I.-I.; Giotis, A.P.; Sofianopoulos, S. and Nikou, C., Sensors, 2023.

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# Consumers-BID

Official repository for the code and datasets of the paper [A New Benchmark for Consumer Visual Tracking and Apparent Demographic Estimation from RGB and Thermal Images](https://www.mdpi.com/1424-8220/23/23/9510)

## News

4/12 - Code for apparent age and gender estimation published.

30/11 - Evaluation sets for Consumers and BID [published](https://www.kaggle.com/datasets/angelosgiotis/consumers-bid).

28/11 - Code for tracking published.

## Structure

**📁 Consumer-tracking:** Code and experiments related to consumer tracking.

**📁 Apparent demographic estimation:** Code and experiments related to _apparent_ age-group and gender estimation.

## License

[CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/)

## Citation
If you use this _codebase_ or the _Consumers-BID_ datasets in your work, please include a citation to acknowledge the source:

Panagos, I.-I.; Giotis, A.P.; Sofianopoulos, S.; Nikou, C. A New Benchmark for Consumer Visual Tracking and Apparent Demographic Estimation from RGB and Thermal Images. Sensors 2023, 23, 9510. https://doi.org/10.3390/s23239510