https://bugs.kde.org/show_bug.cgi?id=415782
--- Comment #21 from Christian <chrisp...@gmx.net> --- (In reply to MarcP from comment #13) > 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? Hey, have the very same experience: recognition rate below 1% with random results, proposed persons pre-dominantly those ones I have only one picture for in the training data - and never the ones with >100 different pictures. Has there been a solution meanwhile or a parameter somewhere, where I could at least restrict automated recognition for persons with >10 pictures? -- You are receiving this mail because: You are watching all bug changes.
