人臉識別經常使用數據集大全（12/20更新）

人臉識別經常使用數據集大全（12/20更新）

原文首發地址：人臉識別經常使用數據集大全（12/20更新） - 極市博客

 

1.PubFig: Public Figures Face Database(哥倫比亞大學公衆人物臉部數據庫)

The PubFig database is a large, real-world face dataset consisting of 58,797 images of 200 people collected from the internet. Unlike most other existing face datasets, these images are taken in completely uncontrolled situations with non-cooperative subjects.

這是哥倫比亞大學的公衆人物臉部數據集，包含有200我的的58k+人臉圖像，主要用於非限制場景下的人臉識別。

 

2.Large-scale CelebFaces Attributes (CelebA) Dataset

CelebFaces Attributes Dataset (CelebA) is a large-scale face attributes dataset with more than 200K celebrity images, each with 40 attribute annotations. The images in this dataset cover large pose variations and background clutter. CelebA has large diversities, large quantities, and rich annotations, including

10,177 number of identities,

202,599 number of face images, and

5 landmark locations, 40 binary attributes annotations per image.

這是由香港中文大學湯曉鷗教授實驗室公佈的大型人臉識別數據集。該數據集包含有200K張人臉圖片，人臉屬性有40多種，主要用於人臉屬性的識別。

 

3.Colorferet

The database is used to develop, test, and evaluate face recognition.

爲促進人臉識別算法的研究和實用化，美國國防部的Counterdrug Technology Transfer Program(CTTP)發起了一我的臉識別技術(Face Recognition Technology 簡稱FERET)工程，它包括了一個通用人臉庫以及通用測試標準。到1997年，它已經包含了1000多人的10000多張照片，每一個人包括了不一樣表情，光照，姿態和年齡的照片。

 

4.Multi-Task Facial Landmark (MTFL) dataset

This dataset contains 12,995 face images collected from the Internet. The images are annotated with (1) five facial landmarks, (2) attributes of gender, smiling, wearing glasses, and head pose.

該數據集包含了將近13000張人臉圖片，均採自網絡。

 

5.BioID Face Database - FaceDB

1521 images with human faces, recorded under natural conditions, i.e. varying illumination and complex background. The eye positions have been set manually.

這個數據集包含了1521幅分辨率爲384x286像素的灰度圖像。 每一幅圖像來自於23個不一樣的測試人員的正面角度的人臉。爲了便於作比較，這個數據集也包含了對人臉圖像對應的手工標註的人眼位置文件。 圖像以 "BioID_xxxx.pgm"的格式命名，其中xxxx表明當前圖像的索引(從0開始)。相似的，形如"BioID_xxxx.eye"的文件包含了對應圖像中眼睛的位置。

 

6.Labeled Faces in the Wild Home (LFW)

More than 13,000 images of faces collected from the web. Each face has been labeled with the name of the person pictured. 1680 of the people pictured have two or more distinct photos in the data set.

LFW數據集是爲了研究非限制環境下的人臉識別問題而創建的。這個數據集包含超過13，000張人臉圖像，均採集於Internet。

每一個人臉均被標準了一我的名。其中，大約1680我的包含兩個以上的人臉。

這個集合被普遍應用於評價Face Verification算法的性能。

 

7.Person identification in TV series

Face tracks, features and shot boundaries from our latest CVPR 2013 paper. It is obtained from 6 episodes of Buffy the Vampire Slayer and 6 episodes of Big Bang Theory.

該數據集所選用的人臉照片均來自於兩部比較知名的電視劇，《吸血鬼獵人巴菲》和《生活大爆炸》。

 

8.CMUVASC & PIE Face dataset

The face datasets were provided by the face reserch group at CMU.

CMU PIE人臉庫創建於2000年11月，它包括來自68我的的40000張照片，其中包括了每一個人的13種姿態條件，43種光照條件和4種表情下的照片，現有的多姿態人臉識別的文獻基本上都是在CMU PIE人臉庫上測試的。

 

9.YouTube Faces

The data set contains 3,425 videos of 1,595 different people. The shortest clip duration is 48 frames, the longest clip is 6,070 frames, and the average length of a video clip is 181.3 frames.

YouTube Video Faces是用來作人臉驗證的。在這個數據集下，算法須要判斷兩段視頻裏面是否是同一我的。有很多在照片上有效的方法，在視頻上未必有效/高效。

 

10.CASIA-FaceV5

CASIA Face Image Database Version 5.0 (or CASIA-FaceV5) contains 2,500 color facial images of 500 subjects.

該數據集包含了來自500我的的2500張亞洲人臉圖片.

 

11.The CNBC Face Database

This database includes multiple images for over 200 individuals of many different races with consistent lighting, multiple views, real emotions, and disguises (and some participants returned for a second session several weeks later with a haircut, or a new beard, etc.).

該數據集採集了200我的在不一樣狀態下（不一樣的神情，裝扮，髮型等）的人臉照片。

 

12.CASIA-3D FaceV1

4624 scans of 123 persons using the non-contact 3D digitizer, Minolta Vivid 910, as shown in figure.

該數據集包含了來自123我的的4624張人臉圖片，全部圖片均由下圖的儀器進行拍攝。

 

13.IMDB-WIKI

In total we obtained 460,723 face images from 20,284 celebrities from IMDb and 62,328 from Wikipedia, thus 523,051 in total.

IMDB-WIKI人臉數據庫是有IMDB數據庫和Wikipedia數據庫組成，其中IMDB人臉數據庫包含了460,723張人臉圖片，而Wikipedia人臉數據庫包含了62,328張人臉數據庫，總共523,051張人臉數據庫，IMDB-WIKI人臉數據庫中的每張圖片都被標註了人的年齡和性別，對於年齡識別和性別識別的研究有着重要的意義。

 

14.FDDB

A data set of face regions designed for studying the problem of unconstrained face detection. This data set contains the annotations for 5171 faces in a set of 2845 images taken from the Faces in the Wild data set.

FDDB是UMass的數據集，被用來作人臉檢測(Face Detection)。這個數據集比較大，比較有挑戰性。並且做者提供了程序用來評估檢測結果，因此在這個數據上面比較算法也相對公平。

15.Caltech人臉數據庫

The dataset contains images of people collected from the web by typing common given names into Google Image Search. The coordinates of the eyes, the nose and the center of the mouth for each frontal face are provided in a ground truth file. This information can be used to align and crop the human faces or as a ground truth for a face detection algorithm. The dataset has 10,524 human faces of various resolutions and in different settings, e.g. portrait images, groups of people, etc. Profile faces or very low resolution faces are not labeled.

10k+人臉，提供雙眼和嘴巴的座標位置

 

16.The Japanese Female Facial Expression (JAFFE) Database

The database contains 213 images of 7 facial expressions (6 basic facial expressions + 1 neutral) posed by 10 Japanese female models. Each image has been rated on 6 emotion adjectives by 60 Japanese subjects. The database was planned and assembled by Michael Lyons, Miyuki Kamachi, and Jiro Gyoba. We thank Reiko Kubota for her help as a research assistant. The photos were taken at the Psychology Department in Kyushu University.

該數據庫是由10位日本女性在實驗環境下根據指示作出各類表情，再由照相機拍攝獲取的人臉表情圖像。整個數據庫一共有213張圖像，10我的，所有都是女性，每一個人作出7種表情，這7種表情分別是： sad, happy, angry, disgust, surprise, fear, neutral. 每一個人爲一組，每一組都含有7種表情，每種表情大概有3,4張樣圖。

 

 

全部的人臉識別數據集打包下載連接：https://pan.baidu.com/s/1bpjQNh1

密碼：4xlk