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Version: 2.4.0 (latest)

Attributes

v1​

objects​

angles
Head rotation angles:
  • yaw: rotation around vertical Y-axis
  • pitch: rotation around horizontal Z-axis
  • roll: rotation around horizontal X-axis
age
Age of a person in an image
bbox
The rectangle that represents face bounds in the image. The bounds are calculated relative to the coordinates of the original image.
class
Object class name such as face or body
confidence
Numerical value of detection confidence
emotions
  • emotion: 7 basic emotions: angry, disgusted, scared, happy, neutral, sad, surprised
  • confidence: the numerical value of manifestation of each estimated emotion. Value range: 0 to 1.
fitter
  • fitter_type: type of set of face landmarks. The fda set contains 21 points and provides high accuracy in a wide range of facial angles (up to the full profile), in contrast to the previous sets.
  • keypoints: coordinates of face landmarks
  • left_eye: left eye coordinates
  • right_eye: right eye coordinates
gender
Gender of a person in an image
id
The ordinal number of a face in an image
liveness
  • confidence: numerical value of confidence that the image belongs to a real person. Value range: 0 to 1.
  • value: verdict: REAL – the face image belongs to a real person, FAKE – the face image doesn't belong to a real person.
mask
  • value: verdict: true – masked person, false – unmasked person.
  • confidence: the numerical value of confidence that a person in the image is/isn’t wearing a mask. Value range: 0 to 1.
quality
  • quality:
    • qaa (Quality Assessment Algorithm) contains the following data:
      • totalScore: numerical value for overall image quality score in points from 0 to 100
      • isSharp: boolean value for image sharpness
      • sharpnessScore: numerical value for sharpness assessment in points from 0 to 100
      • isEvenlyIlluminated: boolean value for image illumination uniformity
      • illuminationScore: numerical value for score of illumination uniformity in points from 0 to 100
      • noFlare: boolean value for presence/absence of image flares
      • isLeftEyeOpened: boolean value for position of left eye (open/closed)
      • leftEyeOpennessScore: numerical value for eye openness score in points from 0 to 100
      • isRightEyeOpened: boolean value for position of right eye (open/closed)
      • rightEyeOpennessScore: numerical value for eye openness score in points from 0 to 100
      • isBackgroundUniform: boolean value for background uniformity
      • backgroundUniformityScore: numerical value for background uniformity score in points from 0 to 100
      • isDynamicRangeAcceptable: boolean value shows that dynamic range of image intensity in face area exceeds/does not exceed the value of 128
      • dynamicRangeScore: numerical value for score of dynamic range of intensity in points from 0 to 100
      • isEyesDistanceAcceptable: boolean value for acceptable/unacceptable distance between the eyes
      • eyesDistance: numerical value of distance between eyes in px
      • isNotNoisy: boolean value for presence/absence of image noise
      • noiseScore: numerical value of image noise in points from 0 to 100
      • isMarginsAcceptable: boolean value for acceptable/unacceptable margins
      • marginInnerDeviation: numerical value of inner deviation in px
      • marginOuterDeviation: numerical value of outer deviation in px
      • isNeutralEmotion: boolean value for presence/absence of neutral emotions
      • neutralEmotionScore: numerical value for score of neutral emotions in points from 0 to 100
      • notMasked: boolean value for presence/absence of medical mask
      • notMaskedScore: numerical value of confidence that a person in the image isn’t wearing a medical mask in points from 0 to 100
      • hasWatermark: boolean value for presence/absence of watermark in the image
      • watermarkScore: numerical value of confidence that the image contains a watermark in points from 0 to 100
      • isRotationAcceptable: boolean value for acceptable/ unacceptable yaw, pitch and roll angles
      • maxRotationDeviation: numerical value for max deviation of yaw, pitch and roll angles
$template
Biometric template coded in base64
template_size
Size of a biometric template (vector length)

verification​

distance
Distance between compared vectors of biometric face templates. The lower the value, the higher the degree of similarity.
fa_r (False Acceptance Rate)
False acceptance rate shows the system resistance to false acceptance errors. Such an error occurs when the biometric system recognizes a new face as previously detected one, i.e. images of different people are mistaken for images of the same person. This rate is measured by the number of false-acceptance recognitions divided by the total number of recognition attempts.
fr_r (False Rejection Rate)
False rejection occurs when a system fails to recognize a previously detected face, i.e. two images of the same person are mistaken for images of different people. The rate shows the percentage of recognition attempts with false rejection result.
score
The attribute shows the degree of similarity of faces from 0 (0%) to 1 (100%). A high degree of similarity means that two biometric templates belong to the same person.

v2​

objects​

pose
Head rotation angles:
  • yaw: rotation around vertical Y-axis
  • pitch: rotation around horizontal Z-axis
  • roll: rotation around horizontal X-axis
age
Age of a person in an image
bbox
The rectangle that represents face bounds in the image. The bounds are calculated relative to the coordinates of the original image.
class
Object class name such as face or body
confidence
Numerical value of detection confidence
emotions
  • emotion: 7 basic emotions: angry, disgusted, scared, happy, neutral, sad, surprised
  • confidence: the numerical value of manifestation of each estimated emotion. Value range: 0 to 1
keypoints
  • fitter_type: type of set of anthropometric points. The fda set contains 21 points and provides high accuracy in a wide range of facial angles (up to the full profile), in contrast to the previous sets.
  • left_eye_brow_left: coordinates of the left end of the left eyebrow
  • left_eye_brow_up: coordinates of the center of the left eyebrow
  • left_eye_brow_right: coordinates of the right end of the left eyebrow
  • right_eye_brow_left: coordinates of the left end of the right eyebrow
  • right_eye_brow_up: coordinates of the center of the right eyebrow
  • right_eye_brow_right: coordinates of the right end of the right eyebrow
  • left_eye_left: coordinates of the left corner of the left eye
  • left_eye: coordinates of the center of the left eye
  • left_eye_right: coordinates of the right corner of the left eye
  • right_eye_left: coordinates of the left corner of the right eye
  • right_eye: coordinates of the center of the right eye
  • right_eye_right: coordinates of the right corner of the right eye
  • left_ear_bottom: coordinates of the bottom of the left ear
  • nose_left: coordinates of the left side of the nose
  • nose: coordinates of the center of the nose
  • nose_right: coordinates of the right side of the nose
  • right_ear_bottom: coordinates of the bottom of the right ear
  • mouth_left: coordinates of the left corner of the mouth
  • mouth: coordinates of the center of the mouth
  • mouth_right: coordinates of the right corner of the mouth
  • chin: chin coordinates
gender
Gender of a person in an image
id
The ordinal number of a face in an image
liveness
  • confidence: numerical value of confidence that the image belongs to a real person. Value range: 0 to 1.
  • value: verdict: real – the face image belongs to a real person, fake – the face image doesn't belong to a real person.
has_medical_mask
  • value: verdict: true – masked person, false – unmasked person.
  • confidence: the numerical value of confidence that a person in the image is/isn’t wearing a mask. Value range: 0 to 1.
quality
  • total_score: numerical value for overall image quality score in points from 0 to 1
  • is_sharp: boolean value for image sharpness
  • sharpness_score: numerical value for sharpness assessment in points from 0 to 1
  • is_evenly_illuminated: boolean value for image illumination uniformity
  • illumination_score: numerical value for score of illumination uniformity in points from 0 to 1
  • no_flare: boolean value for presence/absence of image flares
  • is_left_eye_opened: boolean value for position of left eye (open/closed)
  • left_eye_openness_score: numerical value for eye openness score in points from 0 to 1
  • is_right_eye_opened: boolean value for position of right eye (open/closed)
  • right_eye_openness_score: numerical value for eye openness score in points from 0 to 1
  • is_background_uniform: boolean value for background uniformity
  • background_uniformity_score: numerical value for background uniformity score in points from 0 to 1
  • is_dynamic_range_acceptable: boolean value shows that dynamic range of image intensity in face area exceeds/does not exceed the value of 128
  • dynamic_range_score: numerical value for score of dynamic range of intensity in points from 0 to 1
  • is_eyes_distance_acceptable: boolean value for acceptable/unacceptable distance between the eyes
  • eyes_distance: numerical value of distance between eyes in px
  • is_not_noisy: boolean value for presence/absence of image noise
  • noise_score: numerical value of image noise in points from 0 to 1
  • is_margins_acceptable: boolean value for acceptable/unacceptable margins
  • margin_inner_deviation: numerical value of inner deviation in px
  • margin_outer_deviation: numerical value of outer deviation in px
  • is_neutral_emotion: boolean value for presence/absence of neutral emotions
  • neutral_emotion_score: numerical value for score of neutral emotions in points from 0 to 1
  • not_masked: boolean value for presence/absence of medical mask
  • not_masked_score: numerical value of confidence that a person in the image isn’t wearing a medical mask in points from 0 to 1
  • has_watermark: boolean value for presence/absence of watermark in the image
  • watermark_score: numerical value of confidence that the image contains a watermark in points from 0 to 1
  • is_rotation_acceptable: boolean value for acceptable/ unacceptable yaw, pitch and roll angles
  • max_rotation_deviation: numerical value for max deviation of yaw, pitch and roll angles
$template
  • _face_template_extractor_1000_12: key describing the face recognition method used (the example shows method 12v1000)
    • blob: biometric template encoded in base64
    • format: format of the data contained in the blob field
    • dtype: data type used to represent image pixels
    • shape: size of the biometric template (vector length)
template_size
Size of a biometric template (vector length)

verification​

distance
The attribute denotes the distance between the compared template vectors. A biometric template is a vector of facial features in N-dimensional space. The result of comparing two vectors of facial features is a scalar value of the Euclidean distance between the vectors. The shorter this distance, the higher the degree of similarity.
fa_r (False Acceptance Rate)
False acceptance rate shows the system resistance to false acceptance errors. Such an error occurs when the biometric system recognizes a new face as previously detected one, i.e. images of different people are mistaken for images of the same person. This rate is measured by the number of false-acceptance recognitions divided by the total number of recognition attempts.
fr_r (False Rejection Rate)
False rejection occurs when a system fails to recognize a previously detected face, i.e. two images of the same person are mistaken for images of different people. The rate shows the percentage of recognition attempts with false rejection result.
score
The attribute shows the degree of similarity of faces from 0 (0%) to 1 (100%). A high degree of similarity means that two biometric templates belong to the same person.