M vs Microsoft Episode 30
Can AI Identify A Subtle Physical Pain Such As A Mosquito Bite?
In this blog post, we are thrilled to present groundbreaking findings regarding the accuracy of M, our innovative emotion recognition system, compared to Microsoft’s counterpart. By employing entirely new and unseen images, we conducted an extensive evaluation to gauge the performance of both systems.
Within this snapshot of a little girl, her encounter with a mosquito takes an unexpected toll. The bite, seemingly trivial, transforms into a visible swelling around her eye, accompanied by relentless itching and a subtle yet persistent ache and itchiness. This image exposes the hidden distress caused by such bite, highlighting the often underestimated pain that lingers beneath the surface not visible to the audience.
Unveiling the Power of Project M: A Comparison with Microsoft in Identifying Human Emotions
Consider this image of the young girl with a swollen eye resulting from a pesky mosquito bite. M astutely identifies 70% Disgust as the primary emotion, accompanied by 10% Sadness as the secondary emotion. Additionally, M accurately captures the negative mood emanating from the girl, measuring at 62%. Her enduring spirit amidst the itchiness and discomfort is precisely reflected in M’s analysis, recognizing the emotions of Disgust and Sadness. This impressive accuracy further validates the robustness of M.
Emotional AI Platform M’s Screening Results:
Microsoft Azure Using The Same Image:
Now, let’s shift our focus to Microsoft Azure and its evaluation using the same image of the little girl. Surprisingly, Microsoft Azure erroneously identifies her emotional state as 80% Neutral, considering it to be the primary emotion. Furthermore, it assigns a mere 19% to Sadness as a secondary emotion. This misjudgment can be attributed to the minimal facial muscle movement exhibited by the girl, leading to an inaccurate assessment of her emotional state as Neutral.
The contrasting results between M and Microsoft Azure are indeed striking. M’s advanced capabilities clearly outshine Microsoft’s system in accurately discerning human emotions based on facial appearance. The stark disparity witnessed in this evaluation showcases M’s superior performance and reinforces its effectiveness as an exceptional emotion recognition tool.
We extend our gratitude to all our readers for witnessing this comparative analysis. Stay tuned for more exciting updates on M, as we continue to push the boundaries of emotion recognition technology. Thank you for your support and interest!
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*As of 2023, the Project M team has devoted 150,000+ hours to the Emotional AI platform, M. The sample input data we are using is the pure testing data that is completely new to M and Microsoft (assumed) and has never been used to train M, so this comparison is a fair trial between M and Microsoft. We appreciate Microsoft, the leader of the industry and emotional AI sector, for allowing the general public to test their testing site for identifying human emotions based on facial expressions.
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