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 Fitzpatrick skin types
Our A.I. can automatically recognize all 110 pantone shades under any lighting condition
face AI
Face Detection
Identify a face or multiple faces and the coordinates of where they are located.
Facial Landmarks
The coordinate locations of 70+ distinct facial landmarks.
.png)
Skin Map
Masks that provide the regions of skin vs. facial features such as eyes, eyebrows and hair.
Profile Type
The direction the face(s) are pointing and which profile is visible.
.png)
Expression
Emotion and face gestures.
Facial Recognition
Detection and verification of identity
.png)
Face Shape
The shapes of the faces in an image; examples include square and heart.
.png)
Eye Color
The color of the eyes.
.png)
Wearing Glasses
Detects the presence of eye glasses, and whether they are for sun or reading.
.png)
Gender
Male or Female gender classification with confidence ratings.
Age
Age classification into 9 distinct categories.
.png)
Fitzpatrick Skin Type
The skin type based on color/tone as defined by the Fitzpatrick scale of 1-VI.
Facial Hair
Detects presence and type of facial hair ranging from moustaches to different beard styles.
hair ai
Hair Type
Identifies and measures hair texture, examples include straight, wavy and bald.
.png)
Hair Loss Level
Detects if anyone in the image is suffering from hair-loss and its classification severity.
.png)
Hair Color
The color of the hair.
SKIN & BEAUTY AI
Severity index is categorized into 5 levels
.png)
Redness
Degree of redness, sensitivity of the skin.
Evenness of Tone
Color variation in complexion due to pigmentation or uneven texture..
.png)
Wrinkles
Fine and deep lines from textural change. Includes expression lines.
.png)
Pigmentation
Dark spots, discoloration from aging, sun damage and acne.
.png)
Pores
Enlarged pores and blackheads.
.png)
Hydration
Moisture levels of the skin derived from skin texture.
.png)
Acne
Active acne, pimples and cysts.
.png)
Texture
Skin roughness across the face and localized areas such as the eyelids.
.png)
Lip Health
Measures level of rosiness, lip fullness and border contrast.
.png)
Lashes
Length, density, and lift-up/curl-up angles.
.png)
Dark Circles
Under eye pigmentation and bags.
.png)
Pantone Shade Match
Provides closest shade within the pantone color palette.
.png)
Oiliness/Shininess
Detects areas of excessive sebum production.
.png)
Skin Age
Identify skin age and view transforms of structural, textural and color changes due to the effects of aging.
Skin Undertone
The undertone of each person visible in an image: neutral, warm and cool.
.png)
Wearing Makeup
Detects the presence of makeup, such as blush, mascara and foundation.
LIFESTYLE ai
.png)
Geotag
User location by city & country.
.png)
Season
Current climate and seasonal impact of skin.
.png)
UV Index
Levels of UV radiation from the sun at the time of photo capture.
.png)
Pollution
Degree of air quality based on the presence of environmental pollutants and standards established by the EPA.
.png)
Weather
Reports temperature highs and lows for the day.
.png)
Humidity
Reports water vapor levels for the day.
.png)
Image Device
Type of camera the photo is captured on.
.png)
Environmental Lighting
Settings used at time of capture that may impact photo color intensity and quality.
Get started with your API integration today.