Cover faces with a solid box, pixels or blur. Auto first pass, then add any it missed.
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No. On ordinary, well-lit photos our test found 46 of 46 faces, including 12- and 18-person group shots, but it found none of the three faces in a crowd photographed from behind. Small, blurred, turned-away and partly covered faces are where it fails. That is exactly why the tool is a box editor with an automatic first pass rather than an automatic blurrer: the last word is yours.
No. The detector and the inference engine are downloaded into your browser and run there; the photo is decoded on a canvas on your device and never sent to a server. There is nothing to delete afterwards because nothing arrived anywhere.
The solid box, unless you have a reason not to. Blur and pixelation both leave a statistical trace of the face underneath, and networks have been trained to read that trace back. A solid box leaves nothing behind, because there is nothing behind it. It is flat pixels.
Not from under a solid box: the covers are painted into the image before it is encoded, so the pixels beneath are gone rather than hidden. Blur and pixelation are a different matter, see above. The EXIF metadata is stripped as well, so the export does not carry the GPS coordinates, camera serial and timestamp that the original was holding.
It should cover more than the detector asked for. A face detector reports the face (eyes, nose, mouth) not the head: on a test studio portrait the raw box came back 330 x 434 px and visibly cut off the hairline, forehead, ears and chin, which leaves the head shape and hair recognisable. Every automatic box is therefore grown by 35% on each axis before it is used. If one still looks tight, drag your own box over it: yours is drawn exactly where you put it.
You draw the boxes yourself and everything else works the same. The manual editor is the tool; the automatic pass is a convenience sitting on top of it.
