Introduction
The Webit FaceNet 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 FaceNet 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.
12345
{
"status": "success",
"data": {
"input_source": "url",
"faces": [
{
"face_id": 2,
"confidence": 0.9999761581420898,
"bounding_box": {
"start": {
"x": 78.4570596797671,
"y": 52.13963963963964
},
"end": {
"x": 88.20960698689956,
"y": 59.909909909909906
},
"relative": {
"start": {
"x": 78.4570596797671,
"y": 52.13963963963964
},
"end": {
"x": 88.20960698689956,
"y": 59.909909909909906
}
},
"absolute": {
"start": {
"x": 539,
"y": 463
},
"end": {
"x": 606,
"y": 532
}
}
},
"size": {
"width": 67,
"height": 69
},
"coverage": 0.758
},
{
"face_id": 1,
"confidence": 0.9999819993972778,
"bounding_box": {
"start": {
"x": 62.15429403202329,
"y": 50.56306306306306
},
"end": {
"x": 70.59679767103349,
"y": 57.88288288288288
},
"relative": {
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"y": 50.56306306306306
},
"end": {
"x": 70.59679767103349,
"y": 57.88288288288288
}
},
"absolute": {
"start": {
"x": 427,
"y": 449
},
"end": {
"x": 485,
"y": 514
}
}
},
"size": {
"width": 58,
"height": 65
},
"coverage": 0.618
},
{
"face_id": 5,
"confidence": 0.9992369413375854,
"bounding_box": {
"start": {
"x": 46.57933042212518,
"y": 54.054054054054056
},
"end": {
"x": 55.31295487627365,
"y": 61.03603603603604
},
"relative": {
"start": {
"x": 46.57933042212518,
"y": 54.054054054054056
},
"end": {
"x": 55.31295487627365,
"y": 61.03603603603604
}
},
"absolute": {
"start": {
"x": 320,
"y": 480
},
"end": {
"x": 380,
"y": 542
}
}
},
"size": {
"width": 60,
"height": 62
},
"coverage": 0.61
},
{
"face_id": 3,
"confidence": 0.9999562501907349,
"bounding_box": {
"start": {
"x": 11.644832605531295,
"y": 51.23873873873874
},
"end": {
"x": 19.50509461426492,
"y": 58.671171171171174
},
"relative": {
"start": {
"x": 11.644832605531295,
"y": 51.23873873873874
},
"end": {
"x": 19.50509461426492,
"y": 58.671171171171174
}
},
"absolute": {
"start": {
"x": 80,
"y": 455
},
"end": {
"x": 134,
"y": 521
}
}
},
"size": {
"width": 54,
"height": 66
},
"coverage": 0.584
},
{
"face_id": 4,
"confidence": 0.999932050704956,
"bounding_box": {
"start": {
"x": 26.92867540029112,
"y": 52.7027027027027
},
"end": {
"x": 35.080058224163025,
"y": 59.7972972972973
},
"relative": {
"start": {
"x": 26.92867540029112,
"y": 52.7027027027027
},
"end": {
"x": 35.080058224163025,
"y": 59.7972972972973
}
},
"absolute": {
"start": {
"x": 185,
"y": 468
},
"end": {
"x": 241,
"y": 531
}
}
},
"size": {
"width": 56,
"height": 63
},
"coverage": 0.578
}
],
"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": 0.999204695224762,
"bounding_box": {
"start": {
"x": 31,
"y": 18.97142857142857
},
"end": {
"x": 81.71428571428571,
"y": 67.88571428571429
},
"relative": {
"start": {
"x": 31,
"y": 18.97142857142857
},
"end": {
"x": 81.71428571428571,
"y": 67.88571428571429
}
},
"absolute": {
"start": {
"x": 217,
"y": 166
},
"end": {
"x": 572,
"y": 594
}
}
},
"size": {
"width": 355,
"height": 428
},
"coverage": 24.807
}
],
"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 1Face 2
{
"status": "success",
"data": {
"input_source": "url",
"faces": [
{
"face_id": 2,
"confidence": 0.9937923550605774,
"bounding_box": {
"start": {
"x": 50.285714285714285,
"y": 14.714285714285714
},
"end": {
"x": 71.71428571428571,
"y": 47.714285714285715
},
"relative": {
"start": {
"x": 50.285714285714285,
"y": 14.714285714285714
},
"end": {
"x": 71.71428571428571,
"y": 47.714285714285715
}
},
"absolute": {
"start": {
"x": 528,
"y": 103
},
"end": {
"x": 753,
"y": 334
}
}
},
"size": {
"width": 225,
"height": 231
},
"coverage": 7.071
},
{
"face_id": 1,
"confidence": 0.9998096823692322,
"bounding_box": {
"start": {
"x": 36,
"y": 19.857142857142858
},
"end": {
"x": 55.714285714285715,
"y": 55.285714285714285
},
"relative": {
"start": {
"x": 36,
"y": 19.857142857142858
},
"end": {
"x": 55.714285714285715,
"y": 55.285714285714285
}
},
"absolute": {
"start": {
"x": 378,
"y": 139
},
"end": {
"x": 585,
"y": 387
}
}
},
"size": {
"width": 207,
"height": 248
},
"coverage": 6.984
}
],
"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.
12345
{
"status": "success",
"data": {
"input_source": "url",
"faces": [
{
"face_id": 5,
"confidence": 0.9926742911338806,
"bounding_box": {
"start": {
"x": 82.57142857142857,
"y": 0
},
"end": {
"x": 92,
"y": 7.857142857142857
},
"relative": {
"start": {
"x": 82.57142857142857,
"y": 0
},
"end": {
"x": 92,
"y": 7.857142857142857
}
},
"absolute": {
"start": {
"x": 867,
"y": 0
},
"end": {
"x": 966,
"y": 55
}
}
},
"size": {
"width": 99,
"height": 55
},
"coverage": 0.741
},
{
"face_id": 2,
"confidence": 0.999859094619751,
"bounding_box": {
"start": {
"x": 27.428571428571427,
"y": 15.857142857142858
},
"end": {
"x": 33.23809523809524,
"y": 25.714285714285715
},
"relative": {
"start": {
"x": 27.428571428571427,
"y": 15.857142857142858
},
"end": {
"x": 33.23809523809524,
"y": 25.714285714285715
}
},
"absolute": {
"start": {
"x": 288,
"y": 111
},
"end": {
"x": 349,
"y": 180
}
}
},
"size": {
"width": 61,
"height": 69
},
"coverage": 0.573
},
{
"face_id": 1,
"confidence": 0.999992847442627,
"bounding_box": {
"start": {
"x": 9.523809523809524,
"y": 19.142857142857142
},
"end": {
"x": 14.285714285714286,
"y": 26.857142857142858
},
"relative": {
"start": {
"x": 9.523809523809524,
"y": 19.142857142857142
},
"end": {
"x": 14.285714285714286,
"y": 26.857142857142858
}
},
"absolute": {
"start": {
"x": 100,
"y": 134
},
"end": {
"x": 150,
"y": 188
}
}
},
"size": {
"width": 50,
"height": 54
},
"coverage": 0.367
},
{
"face_id": 4,
"confidence": 0.9987057447433472,
"bounding_box": {
"start": {
"x": 59.904761904761905,
"y": 26.428571428571427
},
"end": {
"x": 64.66666666666667,
"y": 33
},
"relative": {
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"y": 26.428571428571427
},
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"y": 33
}
},
"absolute": {
"start": {
"x": 629,
"y": 185
},
"end": {
"x": 679,
"y": 231
}
}
},
"size": {
"width": 50,
"height": 46
},
"coverage": 0.313
},
{
"face_id": 3,
"confidence": 0.9990041851997375,
"bounding_box": {
"start": {
"x": 44,
"y": 12.571428571428571
},
"end": {
"x": 48.666666666666664,
"y": 19.142857142857142
},
"relative": {
"start": {
"x": 44,
"y": 12.571428571428571
},
"end": {
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"y": 19.142857142857142
}
},
"absolute": {
"start": {
"x": 462,
"y": 88
},
"end": {
"x": 511,
"y": 134
}
}
},
"size": {
"width": 49,
"height": 46
},
"coverage": 0.307
}
],
"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.
123