Digital Security for Physical World


Innovative solutions for physical object protection developed by the SIP group.



PharmaPack: mobile fine-grained recognition of pharma packages

O. Taran, S. Rezaeifar, O. Dabrowski, J. Schlechten, T. Holotyak, S. Voloshynovskiy

We consider the problem of fine-grained physical object recognition and introduce a dataset PharmaPack containing 1000 unique pharma packages enrolled in a controlled environment using consumer mobile phones as well as several recognition sets representing various scenarios. For performance evaluation, we extract two types of recently proposed local feature descriptors and aggregate them using popular tools. All enrolled raw and pre-processed images, extracted and aggregated descriptors are made public to promote reproducible research. To evaluate the baseline performance, we compare the methods based on aggregation of local descriptors with methods based on geometrical matching.