FaceTracer Databa(哥伦比亚大学脸部追踪数据库)
数据摘要：
The FaceTracer databa is a large collection of real-world face images, collected from the internet. Each of the 15,000 faces in the databa has a variety of metadata and fiducial points marked. In addition, a large subt of the faces contain hand-labeled descriptive attributes, including demographic information such as age and race, facial features like mustaches and hair color, and other attributes such as expression, environment, etc. There are 5,000 labels in all.
This rich datat can be ud for a variety of different applications. Since it is compod of real-world images collected in the wild, it provides a much more reprentative sample of typical images than other, more controlled, datats -- there is large variation in po, environment, lighting, image quality, imaging conditions (and cameras), etc. The various metadata we offer for each face provides opportunities for comparison and evaluation of a large number of common vision tasks, such as face detection, fiducial point detection, and po angle detection. In addition, the large number of manually labeled attributes we provide -- 5,000 -- can be ud for training and evaluating different learning tasks
and algorithms. Finally, we also provide the URL of the page each face image was found on. This can
be ud to analyze the webpage and its links to obtain more information about the images. We are excited to e how the rearch community tackles the and other problems using our datat.
Due to privacy and copyright issues, we are unable to provide the actual images of each face. Instead, we provide the URLs of each image, as well as the URL of the page the image was found on. Simple programs and libraries can be ud to download the images (e.g., the command line tool wget or the urllib.urlretrieve() function in the Python programming language). Note that the datat may slowly shrink over time as links disappear. In rare cas, a different image might be put up at the same location as
中文关键词：
点标记，属性，年龄，头发颜色，姿态，环境光照,
英文关键词：
points marked,attributes,age,hair,po,environmentlighting,
数据格式：
IMAGE
数据用途：
This rich datat can be ud for a variety of different applications and ud to analyze the webpage and its links to obtain more information about the images.
数据详细介绍：
FaceTracer Databa
The FaceTracer databa is a large collection of real-world face images, collected from the internet. Each of the 15,000faces in the databa has a variety of metadata and fiducial points marked. In addition, a large subt of the faces contain hand-labeled descriptive attributes, including demographic information such as age and race, facial features like mustaches and hair color, and other attributes such as expression, environment, etc. There are 5,000 labels in all.
This rich datat can be ud for a variety of different applications. Since it is compod of real-world images collected in the wild, it provides a much more reprentative sample of typical images than other, more controlled, datats -- there is large variation in po, environment, lighting, image quality, imaging conditions (and cameras), etc. The various metadata we offer for each face provides
opportunities for comparison and evaluation of a large number of common vision tasks, such as face detection, fiducial point detection, and po angle detection. In addition, the large number of manually labeled attributes we provide -- 5,000-- can be ud for training and evaluating different learning tasks and algorithms. Finally, we also provide the URL of the page each face image was found on. This can be ud to analyze the webpage and its links to obtain more information about the images. We are excited to e how the rearch community tackles the and other problems using our datat.
Due to privacy and copyright issues, we are unable to provide the actual images of each face. Instead, we provide the URLs of each image, as well as the URL of the page the image was found on. Simple programs and libraries can be ud to download the images (e.g., the command line tool wget or the urllib.urlretrieve() function in the Python programming language). Note that the datat may slowly shrink over time as links disappear. In rare cas, a different image might be put up at the same location as an image from our
datat. In this ca, the provided metadata and attribute labels will become incorrect.
This databa is made available only for non-commercial u.
The databa is organized into a variety of text files, which are all easy to par. The first two lines of each file are comments (start with '#') -- the first is an identification of the file, while the cond describes the format of each subquent line in the file. Each line generally contains a face id followed by various other information, all parated by tabs ('\t'). The face id uniquely defines a face, and the ids are the common element linking all the files.
In detail, the are the different files:
利尿吃什么药: This contains a list of all faces with image urls and page urls. Each line contains the face id, followed by the image url (where the image is actually located), and then the page url (the page on which the image was located), all parated by tabs. Note that since many faces can come from a single image, the image and page urls for multiple face ids can be identical. The face rectangle (defined in the next file) will differentiate the faces. : This contains statistics for each face. Each line contains all of the statistics (as integers) for one face, parated by tabs. In order, the are: The face id
The width of the face in pixels
The height of the face in pixels
The x-location of the top-left corner of the face
The y-location of the top-left corner of the face
The po angles (in degrees) of the face:
The yaw angle (out-of-plane left-right) of the face
The pitch angle (up-down) of the face
The roll angle (in-plane left-right) of the face
五年级下册生字The fiducial points of the face (all relative to the top-left of the face rectangle): The x-location of the left corner of the left eye
The y-location of the left corner of the left eye
The x-location of the right corner of the left eye
The y-location of the right corner of the left eye
The x-location of the left corner of the right eye
The y-location of the left corner of the right eye
The x-location of the right corner of the right eye
The y-location of the right corner of the right eye
The x-location of the left corner of the mouth
The y-location of the left corner of the mouth
崇高近义词The x-location of the right corner of the mouth
猪肝炒大蒜The y-location of the right corner of the mouth
稚童<: This contains a list of the different attributes we have labeled, along with the valid labels for each attribute. There are 10 attributes, with a total of 25 different labels. Each line contains first the attribute name (lower
常在心间
ca, no spaces), followed by all valid labels for that attribute (each lower ca, no spaces). All elements are parated by tabs.
幼儿园公开课<: This contains a list of various attribute labels assigned to faces (5,000 in all). The labels were assigned manually by a group of people, and then manually verified by a single person to ensure consistency. Each line contains a single face id, attribute name, and label, parated by tabs. The attribute name and label are the exact same strings found in the "" file. Since many faces have multiple labeled attributes, face ids may be repeated (i.e., if a given face has two attributes labeled, then there will be two lines starting with that face id).
facetracer.py: A simple python script that demonstrates how to par the datat and display information about a particular face in the datat. facetracer.zip: This contains all of the above files in a zip file, for ea in downloading.
Plea contact Neeraj Kumar (neeraj [at] cs.columbia.edu) for any questions or comments regarding this databa.
If you u this databa, plea cite the "FaceTracer" paper listed below! The databa is made available only for non-commercial u. Publications
宇智波鼬图片
"FaceTracer: A Search Engine for Large Collections of Images with Faces,"
N. Kumar, P. N. Belhumeur, and S. K. Nayar,
European Conference on Computer Vision (ECCV),
pp.340-353, Oct, 2008.
[PDF] [bib] [©]
"Face Swapping: Automatically Replacing Faces in Photographs,"
D. Bitouk, N. Kumar, S. Dhillon, P. N. Belhumeur, and S. K. Nayar,
ACM Trans. on Graphics (also Proc. of ACM SIGGRAPH),
Aug, 2008.
[PDF] [bib] [©]
数据预览：
