Accurately Rating Facial Attractiveness With A.I ? (blackpill)
TLDRThe video discusses the use of artificial intelligence in rating facial attractiveness, focusing on a website called PrettyScale.com. It explores the methods used by the website, which include neoclassical canons, facial measurements, and symmetry, to evaluate attractiveness. The video tests the website's rating system using the face of Kilian Murphy, providing a detailed critique of the results. The host argues that while the website's assessment offers some accurate points, it lacks in-depth facial ratios and fails to account for facial harmony, which is crucial for attractiveness. They conclude that AI-based ratings should be taken for fun rather than as a definitive measure of attractiveness, as they cannot fully capture the nuanced perception of human beauty.
Takeaways
- π§ The website prettyscale.com uses neoclassical canons for facial attractiveness evaluation, which are based on aesthetic proportions developed in the 17th and 18th centuries.
- π The site measures facial attractiveness by considering factors like eye spacing, facial thirds, and facial fifths, and also uses symmetry measurement.
- π€ There is a suspicion that the golden ratio mask might be employed by the website in its evaluation process.
- πΈ The website was given a photo of Kilian Murphy for rating, with minimal lens distortions.
- π€¨ The results for Kilian Murphy's photo rated him as 'good-looking,' which supposedly translates to an A7 or 'Chad light' score.
- π The website pointed out specific features such as a wide face, small forehead, good interocular distance, normal mouth size, and small chin, along with good facial symmetry.
- π The reviewer disagrees with some of the website's assessments, such as the wide face and small forehead, attributing them to hairstyle and not actual flaws.
- π The reviewer agrees with the website's assessment of good interocular distance and nose size in relation to the face.
- π ββοΈ Disagreement with the small chin assessment, citing an average chin-to-face ratio.
- π― The reviewer emphasizes that facial harmony, which is subjective and can only be perceived by the human eye, is not captured by the website.
- π« The reviewer concludes that website and app ratings are not fully reliable methods to measure attractiveness due to the lack of in-depth facial ratios and the inability to account for ethnicity and harmony.
- π€·ββοΈ The final recommendation is to use such apps and websites for fun rather than as an accurate measure of one's attractiveness.
Q & A
What is the main focus of the video regarding artificial intelligence and facial attractiveness?
-The video focuses on the development of AI-powered apps or websites that rate facial attractiveness, questioning their trustworthiness, the methods they use to measure attractiveness, and their ability to provide accurate facial measurements and scores.
What historical aesthetic standards does the PrettyScale.com website seem to use in its algorithm?
-PrettyScale.com appears to use neoclassical canons, which are proportional measurements developed in the 17th and 18th centuries by Arces and Anonomous, as well as the golden ratio mask, eye spacing, facial thirds, and facial fifths.
How does the website measure facial symmetry?
-The website measures facial symmetry by splitting the face into two parts down the middle line (MLE) and comparing the two halves.
What was the result of rating the face of Kilian Murphy on PrettyScale.com?
-The website rated Kilian Murphy's face as 73%, which is considered good-looking, translating to an 'A7' or 'Chad light' score.
What are some of the points the website gave for Kilian Murphy's face that the speaker disagrees with?
-The speaker disagrees with the points stating a 'wide face' and a 'too small forehead' as flaws, arguing that Kilian's facial width to height ratio is within an ideal range and that the hairstyle might be misleading the measurement of the forehead.
What is the speaker's opinion on the accuracy of AI-based attractiveness assessments?
-The speaker believes that AI-based assessments are lacking and inaccurate in some areas, as they do not take into account more in-depth facial ratios, ethnicity, and most importantly, facial harmony, which can only be perceived by the human eye.
What is the concept of 'facial harmony' as mentioned in the video?
-Facial harmony refers to how well a person's facial features come together and work together. It allows for some flaws to look good on a face if they fit well and flow well together, contributing to an overall attractive appearance.
Why does the speaker suggest using these AI-based attractiveness apps and websites only for fun?
-The speaker suggests using these apps and websites for fun because they believe that the current AI-based methods are not fully comprehensive and do not capture the nuances of human perception, particularly in assessing facial harmony.
What is the speaker's final recommendation regarding the use of AI-based attractiveness assessments?
-The speaker recommends that viewers should not rely solely on AI-based attractiveness assessments for a definitive measure of attractiveness, but rather use them for entertainment purposes.
What additional factors does the speaker believe are important for attractiveness that AI may not consider?
-The speaker believes that factors such as ethnicity, which affects the applicability of certain facial ratios, and the overall harmony of facial features, which is subjective and can only be perceived by the human eye, are important for attractiveness and may not be considered by AI.
How does the speaker rate Kilian Murphy's attractiveness based on their own assessment?
-The speaker rates Kilian Murphy in the 'Chad' or 'AG' range, which implies a high level of attractiveness, based on their own assessment that considers factors such as plus factors of attractiveness, ethnicity, symmetry, and most importantly, facial harmony.
Outlines
π€ AI and Facial Attractiveness Rating Apps
The video discusses the potential of AI to develop apps or websites that rate facial attractiveness. It raises questions about the trustworthiness and accuracy of such apps, the methods they use, and their ability to provide reliable facial measurements. The video will explore these questions by examining a website called PrettyScale.com, with a structure that includes an explanation of the methods used, a test of the website's rating system, and a discussion on the accuracy of the website's assessments. The video also offers a personalized evaluation service for viewers and directs them to the presenter's blog for further reading.
Mindmap
Keywords
Artificial Intelligence
Facial Attractiveness
Neoclassical Canons
Facial Measurements
Algorithm
Symmetry
Golden Ratio Mask
Facial Harmony
Ethnicity
Killian Murphy
PrettyScale.com
Highlights
The rise of artificial intelligence has led to the development of apps that rate facial attractiveness.
Questions remain about the trustworthiness and accuracy of these apps in providing facial measurements and attractiveness scores.
The website prettyscale.com uses neoclassical canons for proportional evaluations of the face.
Neoclassical canons were developed by Arcesilaus and Anonymous in the 17th and 18th century.
These canons are used by surgeons as a reference for surgical treatments.
The method includes measurements such as eye spacing, facial thirds, and facial fifths.
Symmetry measurement is also used, splitting the face into two parts.
The possibility of using the golden ratio mask in the assessment is considered.
Killian Murphy's face was used as a challenging example for the website's rating system.
The website rated Murphy with a 73% attractiveness score, translating to 'A7 or Chad light'.
The assessment provided points on facial features such as wide face, small forehead, and good facial symmetry.
The reviewer disagrees with some of the website's assessments, citing inaccuracies.
Facial width to height ratio is considered ideal, contrary to the website's 'wide face' flaw.
The concept of facial harmony is introduced as a critical factor that computers may not accurately perceive.
Facial harmony involves how well facial features work together and fit the individual's face.
Strong features alone do not guarantee an attractive face; harmony among features is essential.
Website and app ratings are not fully comprehensive methods to measure attractiveness due to the lack of in-depth facial ratios and ethnicity considerations.
These apps and websites should be used for fun rather than as definitive measures of attractiveness.
The importance of human perception in evaluating facial harmony is emphasized.
The video invites viewers to share their thoughts on the topic in the comments section.