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Facial Emotion Recognition Data Overview
2020.05.24

As a branch of face recognition, facial emotion recognition aims to analyze the psychological emotion through the change of facial emotion.

 

Facial emotion recognition involves many fields, i.e. retail industry, automatic drive, online education and etc..

 

The point of facial emotion recognition technology is that once a person's facial features are slightly changed, his facial expressions and emotional expressions will be changed accordingly. Besides, facial expressions vary from race to race and from age to age. To help the recognition technology be more accurately, Speechocean collected more than 160,000 pictures of facial emotion from more than 4,000 people of different races, with a balanced sex ratio, ranging in age from 6 to 80.

 

Data Details

 

Data Name

Number of Pictures

Number of People

Facial Emotion - Kids

20,832

496

Facial Emotion - Adults

117,222

2,793

Facial Emotion - Blacks

5,908

211

Facial Emotion - Whites

8,988

321

Facial Emotion - Asians

9,156

327

 

Collection Details

 

Data format:

JPG

 

Collect backgrounds

White background / blue background

 

Shooting angles (depression):

0-7 degrees / 7-14 degrees / 14-20 degrees

 

Collection contents:

Mouth / eyebrows / eyes / four basic facial emotions

 

1. State of mouth

Normal / mouth open slightly / mouth open totally / o-sized mouth / pout / lip pucker

 

2. State of eyebrows

Eyebrows raise / frown

 

3. State of eyes

Eyes open / eyes close

 

4. Four basic facial emotions

Normal / happy / angry / surprise

 

Number of collection

Collect one picture of each sub-emotion under each shooting angle.

 

Samples

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