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Face API
The Webit Face REST API lets you effortlessly search between millons of YouTube, Dailymotion and Vimeo videos with a single solution.
Introduction
The Webit Face API lets you effortlessly search between millons of YouTube, Dailymotion and Vimeo videos with a single solution. And it includes a FREE plan to get started with.
API testing and usage
If you want to start using the Face service or just want to test it a little, just press the buttons below.
You will need a RapidAPI account for testing production endpoints. However, the whole process is completely FREE of charge and no credit card is required.
Below is an example of a not-easy-to-detect nudity. Neural Machine performs very well and understands the image contains nudity, despite of the confusing perspective.
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{
    "status": "success",
    "data": {
        "input_source": "url",
        "faces": [
            {
                "face_id": 1,
                "confidence": 0.9999762773513794,
                "bounding_box": {
                    "start": {
                        "x": 60.262008733624455,
                        "y": 48.873873873873876
                    },
                    "end": {
                        "x": 72.63464337700145,
                        "y": 59.909909909909906
                    }
                }
            },
            {
                "face_id": 2,
                "confidence": 0.9999254941940308,
                "bounding_box": {
                    "start": {
                        "x": 9.606986899563319,
                        "y": 49.43693693693694
                    },
                    "end": {
                        "x": 21.542940320232898,
                        "y": 60.92342342342342
                    }
                }
            },
            {
                "face_id": 3,
                "confidence": 0.9999184608459473,
                "bounding_box": {
                    "start": {
                        "x": 25.036390101892284,
                        "y": 51.013513513513516
                    },
                    "end": {
                        "x": 37.11790393013101,
                        "y": 61.82432432432432
                    }
                }
            },
            {
                "face_id": 4,
                "confidence": 0.9999114274978638,
                "bounding_box": {
                    "start": {
                        "x": 77.14701601164484,
                        "y": 50.56306306306306
                    },
                    "end": {
                        "x": 89.95633187772926,
                        "y": 61.82432432432432
                    }
                }
            },
            {
                "face_id": 5,
                "confidence": 0.9992819428443909,
                "bounding_box": {
                    "start": {
                        "x": 44.832605531295485,
                        "y": 52.13963963963964
                    },
                    "end": {
                        "x": 57.35080058224163,
                        "y": 63.06306306306306
                    }
                }
            }
        ],
        "faces_count": 5
    },
    "message": null
}
Here is an example of a black and white image containing nudity. Neural Machine understands what's depicted in the image despite of skin tone colors.
Face 1
{
    "status": "success",
    "data": {
        "input_source": "url",
        "faces": [
            {
                "face_id": 1,
                "confidence": 0.999498724937439,
                "bounding_box": {
                    "start": {
                        "x": 35.142857142857146,
                        "y": 20.914285714285715
                    },
                    "end": {
                        "x": 76.85714285714286,
                        "y": 66.85714285714286
                    }
                }
            }
        ],
        "faces_count": 1
    },
    "message": null
}
Here is an example of a black and white image containing nudity. Neural Machine understands what's depicted in the image despite of skin tone colors.
Face 1
Face 2
{
    "status": "success",
    "data": {
        "input_source": "url",
        "faces": [
            {
                "face_id": 1,
                "confidence": 0.9998114705085754,
                "bounding_box": {
                    "start": {
                        "x": 36.476190476190474,
                        "y": 19.428571428571427
                    },
                    "end": {
                        "x": 55.23809523809524,
                        "y": 56.142857142857146
                    }
                }
            },
            {
                "face_id": 2,
                "confidence": 0.9946877956390381,
                "bounding_box": {
                    "start": {
                        "x": 51.04761904761905,
                        "y": 14.285714285714286
                    },
                    "end": {
                        "x": 70.85714285714286,
                        "y": 48.857142857142854
                    }
                }
            }
        ],
        "faces_count": 2
    },
    "message": null
}
Here is an example of a black and white image containing nudity. Neural Machine understands what's depicted in the image despite of skin tone colors.
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{
    "status": "success",
    "data": {
        "input_source": "url",
        "faces": [
            {
                "face_id": 1,
                "confidence": 0.9999439716339111,
                "bounding_box": {
                    "start": {
                        "x": 7.619047619047619,
                        "y": 16.285714285714285
                    },
                    "end": {
                        "x": 16,
                        "y": 30.571428571428573
                    }
                }
            },
            {
                "face_id": 2,
                "confidence": 0.9999145269393921,
                "bounding_box": {
                    "start": {
                        "x": 58.095238095238095,
                        "y": 22.857142857142858
                    },
                    "end": {
                        "x": 66.47619047619048,
                        "y": 36.285714285714285
                    }
                }
            },
            {
                "face_id": 3,
                "confidence": 0.9994008541107178,
                "bounding_box": {
                    "start": {
                        "x": 25.714285714285715,
                        "y": 13
                    },
                    "end": {
                        "x": 34.76190476190476,
                        "y": 29
                    }
                }
            },
            {
                "face_id": 4,
                "confidence": 0.9988422989845276,
                "bounding_box": {
                    "start": {
                        "x": 42.095238095238095,
                        "y": 9.285714285714286
                    },
                    "end": {
                        "x": 50.57142857142857,
                        "y": 22.428571428571427
                    }
                }
            },
            {
                "face_id": 5,
                "confidence": 0.9937927722930908,
                "bounding_box": {
                    "start": {
                        "x": 81.52380952380952,
                        "y": 0
                    },
                    "end": {
                        "x": 93.04761904761905,
                        "y": 11
                    }
                }
            }
        ],
        "faces_count": 5
    },
    "message": null
}
Here is an example of a black and white image containing nudity. Neural Machine understands what's depicted in the image despite of skin tone colors.
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