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  1. Add a status page

    It'd be great if you had a publicly available status page so in the rare occasions when outages occur we can verify that it is not our end and that you are working on it.

    6 votes
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    • How to edit "threshold" when i call api faces/recognize?

      Why I call api faces /recognize value "confidence"> 53 but worth "tid" in response new "tid" but not the "tid" already exists on the namespace? How to when I call api faces/recognize value "confidence" > 53 in response will return "tid" already exists on the namespace?

      Thank!

      6 votes
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      • 9 votes
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        • add hair detection

          How about detecting the hair of the face.

          1 vote
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          • any real time face recon system with this api?

            what about real time face recognition from video input?

            1 vote
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            • Add face shape recognition

              Algorithm available on face-shape.com

              3 votes
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                Unfortunately, our face landmarks detector does not detect top of the forehead, which is needed for a face shape recognition algorithm. Maybe you could reuse eyebrows or eyes for the same purpose. Check all 68 landmarks that are returned by our API for similar tasks.

              • 14 votes
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                • 3 votes
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                  • What about the possibility for users to send the base64 encoded images in the request and get the response of Face detection?

                    Since base64 is a pretty common way of storing the images so I was just wondering if it will be wise for the api to accept it as an image in the request.

                    18 votes
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                    • Include a Web-GUI

                      The gui should allow users to remove trained faces aswell as show all saved data and give an opportunity to batch modify it.

                      6 votes
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                        1 comment  ·  Admin →
                      • Allow video as input and create some API around it (eg. request mood detection at 1Hz).

                        This is pretty self explanatory. While it's easy to do this at the app level it creates a lot of overhead especially for things with relatively high frequency.

                        2 votes
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                        • 5 votes
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                          • detect ethnicity

                            As title. Estimate the ethnicity of detected faces.

                            6 votes
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                              1 comment  ·  Admin →
                            • Facebook Friends Training

                              - Train user from facebook profile.
                              - Use all photo tags (remove tags that don't look like user)
                              - Face.com had this feature, it was 95% accurate.
                              - Train facebook friends faces.

                              17 votes
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                              • recognize part of the face

                                Say I have a database with the various kinds of the parts of face: eyebrows, noses, lips, cheekbones, etc.
                                All of them are categorized, for example: http://www.indianbeautyforever.com/2012/09/different-types-of-eyebrows-and-face.html
                                And I want to parse face and detect a type of each and any part of the face.

                                7 votes
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                                • 1 vote
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                                  • No faces detected on the following picture: http://25.media.tumblr.com/tumblr_lfxhv2mFTN1qc2r4co1_500.jpg

                                    This is a bug, or lack of recognition quality.
                                    No faces are detected on the following picture: http://25.media.tumblr.com/tumblr_lfxhv2mFTN1qc2r4co1_500.jpg
                                    There are 6 faces in it. And 4 of them are with a little angle.

                                    6 votes
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                                      Well, you have not tried the recognition yet. This is only face detection part.

                                      After thorough examination of the image provided by you we found that it contains: 1 top of the head, 4 half-profile faces, and 1 full-profile face.

                                      3 of the 4 half-profile faces are too small, our algorithms can easily detect them but we intentionally avoid this because we cannot meaningfully use them during the recognition. Additionally, detection of such small faces adds computation heaviness which we plan to compensate for our commercial plan users.

                                      1 top of the head will not be detected by face detection algorithms.

                                      1 full-profile face is not detected for the same reason as the small faces. We are still discussing internally how to offer this functionality.

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