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PFID: Pittsburgh fast-food image dataset
2009
2009 16th IEEE International Conference on Image Processing (ICIP)
We introduce the first visual dataset of fast foods with a total of 4,545 still images, 606 stereo pairs, 303 360 0 videos for structure from motion, and 27 privacy-preserving videos of eating events of volunteers. This work was motivated by research on fast food recognition for dietary assessment. The data was collected by obtaining three instances of 101 foods from 11 popular fast food chains, and capturing images and videos in both restaurant conditions and a controlled lab setting. We
doi:10.1109/icip.2009.5413511
dblp:conf/icip/ChenDWYSY09
fatcat:kwczxwzsrnfw3eqp6vcdgemi6e