Sunday, 6 December 2015

Ground truth image sets

Ground truth image sets, including calibration images, are useful for validation of software - testing the overall ability of the software to provide realistic results with real images, under real-life conditions. Ground truth images can also be modified and used to create quasi-synthetic images for testing susceptibility of algorithms to things like motion blur, image defocus, misregistration and noise.

The synthetic generation of samples make possible experiments with thousand of subjects (same benchmark data for all researchers) without any legal concern (avoiding also the time consuming acquisition procedures). You can find biometric synthetic generation for several traits: fingerprint, face, handwritting signature, iris, palm

The Sculptures 6k Dataset consists of 6340 images images collected from Flickr by searching for sculptures by Henry Moore and Auguste Rodin. The dataset is split equally into a train and test set, each containing 3170 images. For each set 10 different Henry Moore sculptures are chosen as query objects, and for each of these objects 7 images and query regions are defined, thus providing 70 queries for performance evaluation purposes.

The scripted (and unscripted) activities include: walk, browse, slump, left object, meet, fight, window shop, shop enter, shop exit. 

Annotated biological image sets for testing and validation

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