Has skin measurement data of 200 million+ (2022)
Ma Yang , founder of the company, said:
“
I have practiced all kinds of skin care and medical beauty treatments...
It is a state of mind that is very devoted to experience - every time I do something, I will record the experience.
Peking Union Medical College Dermatologist Evaluation Algorithm
Accuracy is generally greater than 0.75
The accuracy of some detection items exceeds 0.9
Open User Database
user characteristics
Age range: 18~34 years old
Gender: 92% female, 8% male
Cities: 44% of first-tier and super-first-tier users, 40% in second- and third-tier cities
Skin Data
Number of users with oily skin: 4.06 million
Number of users with dry skin: 2.8 million
Number of users with normal skin: 5.86 million
4.84 million users with sensitive skin
9 million users with acne skin
Skin problem data
30+ detection dimensions
Skin age, skin color depth/color temperature, acne degree/partition, number/degree of blackheads, pores, oiliness, roughness, dark circle severity/pigmentary type/structural type/vascular type, sensitivity, total skin score, health , Dry and oily (skin zoning), tolerance, youthfulness, evenness, fineness, etc.
Evaluation data
18.43 million user ratings, involving 230,000 products
3.34 million text comments involving 110,000 products
There are 6197 comments from experts, involving 4130 products
iBrand NO.001 Brand Incubation
You look so good today APP
In 2015, the skin detection AI research and development project was established
In 2018, the online users of the skin test APP exceeded 5 million
In 2019, entered the field of skin medical beauty
In 2022, there will be 200 million+ skin test data
Such a huge amount of data is specifically reflected in,
Quantitative identification
AI mapping
Oil secretion in various parts
Fineness of pores
Number and severity of blackheads
stratum corneum smoothness
Skin color number, tone
skin age
Acne distribution and classification
Dark circle problem, classification
red zone, dark zone
Magnification of defects
precise positioning
8.74 million high-definition face image data set skin texture labeling
Convolutional neural network with millions of parameters
Compute an 8-megapixel image in 1 second
AI mapping
Multi-dimensional skin detection
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Big data empowers product development-launching
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Cooperative papers with Union Medical College:
"Artificial Intelligence analysis of over a million Chinese men and women reveals level of dark cycle in the facial skin aging process"
The following is an excerpt of the content
A.
Among the Chinese population aged 18-40,
Comprehensive and pigmented types increase significantly with age
Structural and vascular types are more flat
B.
Among the Chinese population aged 18-59
Significant growth in all except vascular type
The vascular type increases in the 18-39 age group
More information about our company
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