Showing posts with label algorithm. Show all posts
Showing posts with label algorithm. Show all posts
Thursday, 16 November 2017
Wednesday, 7 June 2017
Saturday, 8 October 2016
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
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
Sunday, 7 September 2014
a travelling discipline..
...
miniscule labour operations and techniques to sustain an experience of time for the privileged - yoga, slow food... power-chronography @Juspar
...
a different order to history as experienced time
refresh rate of screen - the specific time of the machine, material will be percieved not by human eyes.
...
microtemporal irritations.. discursive articulations of multiple temporalities
... unliked, unacknowledged posts, not retweeted..
Sunday, 9 June 2013
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