人臉屬性分析--性別、年齡和表情識別
人臉屬性指的是根據給定的人臉判斷其性別、年齡和表情等，當前在github上開源了一些相關的工作，大部分都是基於tensorflow的，還有一部分是keras，CVPR2015曾有一篇是用caffe做的.
CSDN
github
https://github.com/ZZUTK/Face-Aging-CAAE:CVPR2017 Age Progression/Regression by Conditional Adversarial Autoencoder
useless
資料庫
UTKFace：over 20,000 face images with annotations of age, gender, and ethnicity. The images cover large variation in pose, facial expression, illumination, occlusion, resolution, etc.
SCUT-FBP5500:5500 frontal faces with diverse properties (male/female, Asian/Caucasian, ages) and diverse labels (facial landmarks, beauty scores in 5 scales, beauty score distribution), which allows different computational model with different facial beauty prediction paradigms, such as appearance-based/shape-based facial beauty classification/regression/ranking model for male/female of Asian/Caucasian
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202,599 number of face images, and
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5 landmark locations, 40 binary attributes annotations per image.
APPA-REAL ：視覺年齡估計，7,591張帶有實際年齡和視覺年齡標註的圖片，分為 4113 train, 1500 valid and 1978 test images,大小:844M
AFAD Dataset： Asian Face Age Dataset，more than 160K facial images and the corresponding age and gender labels.暫未開放下載
FER+ :微軟重新標註的fer2013，表情識別比賽資料
NKI:GENKI資料集是由加利福尼亞大學的機器概念實驗室收集。該資料集包含GENKI-R2009a,GENKI-4K,GENKI-SZSL三個部分。GENKI-R2009a包含11159個影象，GENKI-4K包含4000個影象，分為“笑”和“不笑”兩種，每個圖片的人臉的尺度大小，姿勢，光照變化，頭的轉動等都不一樣，專門用於做笑臉識別。GENKI-SZSL包含3500個影象，這些影象包括廣泛的背景，光照條件，地理位置，個人身份和種族等
| Datasets | Description | Links | Key features | Publish Time |
|---|---|---|---|---|
| CelebA | 10,177 number of identities, 202,599 number of face images, and 5 landmark locations, 40 binary attributes annotations per image. | attribute & landmark | 2015 | |
| IMDB-WIKI | 500k+ face images with age and gender labels | age & gender | 2015 | |
| Adience | Unfiltered faces for gender and age classification | age & gender | 2014 | |
| WFLW |