https://bugs.kde.org/show_bug.cgi?id=415782
--- Comment #13 from MarcP <iwannaber...@gmail.com> --- I have also noticed that the precision of face recognition did not improve if a person had more pictures. Until that moment, I had tried the face recognition algorithm using a dataset of 85 famous people (http://vis-www.cs.umass.edu/lfw/), mostly portraits centered on their face, looking at the camera, with samples from 16 to 300 pictures each. In that case, tagging about 12 to 40 pictures of each person I achieved around a 80% of true positives (set at an accuracy of 70%). However, testing the algorithm in my personal database, including around 1500 different people, with some of them having thousands of faces, I had a very different experience. While the face detection works very well (it even detects babies!), recognition rates were below 1% of true positives, where results seem to be completely random. Maybe the number of people in the collection could be weighted in towards the recognition? Or try to predict which people are in a picture based on similar pictures of the same album or date? Or maybe an advanced option to consider a larger number of faces for each person? -- You are receiving this mail because: You are watching all bug changes.
