Reverse Image Searches – Searching for people by photos
They don’t work very well yet…
- Google Image Search
Upload a photo to Google’s Image Search, and it attempt to find similar images. With Google having the largest database of images on the web, chances are OK that you find a similar photo.
- Bing Image Search
Bing also offers an Image Search, but because Bing sucks it is harder to use than Google’s site. Click the “Image Match” icon, and then “Upload an Image”.
- Yandex Reverse Image Search
Russian search engine Yandex also offers reverse image matching, including image upload.
- Baidu Reverse Image Search
Chinese search engine Baidu also offers reverse image matching with image upload.
Currently uses Google, Bing and Yandex to do a reverse image search by making use of the IncandescentAPI. Very helpful site for people using a mobile device and therefore cannot easily use the links above.
- Karma Decay Image Search on Reddit
Beta version of an image search engine on Reddit.com.
- TinEye Reverse Image Search
Claims to have indexed over 12 billion images. Allows image input either via upload or with a given URL.
- PicTriev – Searching Faces on the Web
This one uses real face recognition to find a similar looking face. Unfortunately it searches only within a limited set of “celebrities”.
Very often people are sending pictures from someone who contacted them, by some chat community or partnership platform. They want to know whether this person is for real, or whether it is a so-called “scammer”, using pictures of someone else. This seems to be a big problem called “romance scam“. A few websites try to help users by searching for images of well-known scammers:
- Scam Digger Pic Search
Beta version using images from Romancescam forums.
Other demos using face detection / face finders technology:
- HowHot? from ETH Zurich.
Combines age and gender estimation together with attractiveness classification. Attractiveness ranges from “hmmm” over “ok” to “hot” and “godlike”. Even though this sounds just like a marketing gag, the algorithms used are scientifically state-of-the art. Further explanations of the technology can be found at the same site.
- CelebsLike.Me from Microsoft.
Which Oscar nominee do you look like? A face matching app from Microsoft using their new deep-learning technology. Upload a photo and you see which 2016 Oscar nominee looks like the person on that pic.
- Twins Or Not? from Microsoft.
You can upload two photos and the face recognition engine will calculate a similarity score (100% means identical). This should be very useful for all of you who want to know whether a given face image represents the same person as in a different image. The face recognition engine is actually quite good – it is using Microsoft’s Project Oxford web service.
- How old do I look? from Microsoft.
You can upload a photo with any amount of faces on it, and the site will answer with all found faces marked, together with an age estimation of each person.
Don’t be too shocked if your estimated age is far off reality (+- 15 years accuracy is my rough guess), but the face detector seems to be highly accurate. Microsoft uses its Project Oxford web service for doing that, so you might want to check that out.
- Real-time Face Detector 2.0 from Alexander Telnykh. Detection of faces in frontal angle on digital photos and in videostreams, detection of faces in a tilt perspective. Allows front objects between ±15° from horizontal, detection of faces in profile perspective, demo of Eyes Localization, demo of Face Tracking, demo of skin-color filtering.
- Submit face images to the Betaface Live Demo by Oleksandr Kazakov (there is also a discussion group available)
- Submit face images to the University Illinois online face finder