DECODING DATA FROM IMAGES
DeepTag's intelligence platform features an extensive array of detectors and image analysis attributes. Decode real-time insights about people as they interact with your company, product or brand.
Skin colors are categorized into 6 types
Identify a face or multiple faces and the coordinates of where they are located.
The coordinate locations of 70+ distinct facial landmarks.
Masks that provide the regions of skin vs. facial features such as eyes, eyebrows and hair.
The direction the face(s) are pointing and which profile is visible.
Emotion and face gestures.
Detection and verification of identity
The shapes of the faces in an image; examples include square and heart.
The color of the eyes.
Detects the presence of eye glasses, and whether they are for sun or reading.
Male or Female gender classification with confidence ratings.
Age classification into 9 distinct categories.
Fitzpatrick Skin Type
The skin type based on color/tone as defined by the Fitzpatrick scale of 1-VI.
Detects presence and type of facial hair ranging from moustaches to different beard styles.
Identifies and measures hair texture, examples include straight, wavy and bald.
Hair Loss Level
Detects if anyone in the image is suffering from hair-loss and its classification severity.
The color of the hair.
SKIN & BEAUTY AI
Severity index is categorized into 5 levels
Degree of redness, sensitivity of the skin.
Evenness of Tone
Color variation in complexion due to pigmentation or uneven texture..
Fine and deep lines from textural change. Includes expression lines.
Dark spots, discoloration from aging, sun damage and acne.
Enlarged pores and blackheads.
Moisture levels of the skin derived from skin texture.
Active acne, pimples and cysts.
Skin roughness across the face and localized areas such as the eyelids.
Measures level of rosiness, lip fullness and border contrast.
Length, density, and lift-up/curl-up angles.
Under eye pigmentation and bags.
Pantone Shade Match
Provides closest shade within the pantone color palette.
Detects areas of excessive sebum production.
Identify skin age and view transforms of structural, textural and color changes due to the effects of aging.
The undertone of each person visible in an image: neutral, warm and cool.
Detects the presence of makeup, such as blush, mascara and foundation.
User location by city & country.
Current climate and seasonal impact of skin.
Levels of UV radiation from the sun at the time of photo capture.
Degree of air quality based on the presence of environmental pollutants and standards established by the EPA.
Reports temperature highs and lows for the day.
Reports water vapor levels for the day.
Type of camera the photo is captured on.
Settings used at time of capture that may impact photo color intensity and quality.
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