Show HN: iOS app finds friends' bikini pictures using OpenCV object detection.
itunes.apple.com
itunes.apple.com
1) What features of OpenCV are you using, what sort of shapes are you looking for in images?
2) What's the true positive rate on test sets? And importantly, what's the false negative rate?
1) We are using rapid Object Detection by training Haar classifiers of different bikini shapes (top, bottom, strapless bikinis etc). We used opencv_haartraining to get a few XMLs we use for testing each image.
2) The true positive and false positive rates vary depending on the test we are performing (top, bottom...) so we have a formula based on the combination of these and the amount of hits found in each picture by each classifier, where we assign the picture a probability of it containing a bikini (based on a controlled sample of 3000 pictures). As of now we are looking at user feedback to make sure our threshold is where it needs to be so that we provide just the right amount of true/false positives in our results.
Do your friends know you're the sort of person to perve over photos of them in their swimsuits?
Computers sometimes allow us to do things was were already doing, except at a massive scale. Pre-napster, people were already able to share music with their friends via mix tapes, etc. Suddenly they were able to share with millions, without leaving their own home.
Similarly people were already able to scroll through their friends facebook albums for bikini pics. Suddenly they are able to to do it for 5 friends at once, with the click of a button. Changing the difficulty and scale of something can totally alter the dynamics of the situation. It will be interesting to see if services like this alter the behaviour of people 'oversharing' on facebook.
Also I think you should protect those persons privacy using black bars on their eyes?
But when Apple take a closer look at it they might take it off since they removed other apps for a lot less.
"John just searched for Carrie on Badabing! Badabing Carrie youself!"