Welcome to RPI Intelligent Systems
Lab (ISL) Image Databases
Overview of RPI
ISL Image Databases
The goal
of the ISL Image Databases is to share image data sets with researchers around
the world. The ISL image databases consist of five major parts: medical image
databases, fatigue image databases, face and eye databases, facial
expression databases, and human activity databases.
The RPI ISL Image
Databases
A. Face and Eye Databases
1. Unprocessed images
This database contains the unprocessed images from different
sources.
o ISL
WebImage Database (
This
database is collected from website by our own research group. It can be used in
many applications such as face detection, eye detection, and face pose
estimation.
o
ISL Face
Database (
This
database is created by our own research group. It consists of video sequences
and static images. It can be used in many applications such as face and eye
detection, face tracking, face pose estimation, and face recognition.
o ISL Eye Image Database (Partially available)
This
database is constructed by our own research group. It consists of image
sequences taken under IR cameras. Each image sequence is decomposed into dark
pupil image sequence and its corresponding bright pupil image sequence. This
database is primarily used in eye detection and tracking.
o Face
Databases from Other Research Groups
o
Eye
Databases from Other Research Groups
2. Training Image
Databases (Partially available)
The
training image databases contain the cropped image region of interest (ROI) for
training various classifiers including eye, eye corner, and face.
B. Facial Expression
databases
o ISL
Facial Expression Databases (~
This database is collected by our own research group. It is
primarily used for facial action unit recognition. It consists of two subsets:
frontal-view facial expression database and multi-view facial expression
database.
o ISL
Enhanced Cohn-Kanade AU-coded Facial Expression Database (227K)
Our research group has manually created more groundtruth data
for Cohn-Kanade AU-coded facial expression database including the
frame-by-frame AU labeling and coordinates of 34 facial feature points.
C. Human Fatigue Database
This database consists of face and eye images for human subjects
under different fatigue states
D. Medical Image Databases (Partially available)
This database consists of medical images for microtubule
segmentation, membrane segmentation, and C-elegans (nematode worms)
segmentation.
Others' Image
Databases
o Face
Databases from Other Research Groups
o Eye
Databases from Other Research Groups
o Facial Expression Databases from Other Research Groups
o Other Computer Vision Databases
How to get a copy of ISL Database.
The RPI ISL databases are publicly available for non-commercial use. Any commercial distribution or any act related to commercial use of this database is strictly prohibited. Follow the following steps to get access to RPI ISL databases:
Step 1. Select Database.
Each
database includes several sub-databases for different use. Please read the
descriptions carefully and select the databases you may be interested.
(Note:Only databases with are available now. )
Step 2. Download and sign the license.
If you are working on a research project, please ask the Principal Investigator of the project to sign the license agreement form.
Step 3. Contact us.
The contact information is as follows. Please send us an email and also fax the signed license agreement to us.
Step 4. Upload Data.
Currently, our department restricts the network connection so that we cannot set up a server for you to download the database. You need to set up a server for us to upload the databases. Sorry for any inconvenience.
Contact Information
Please contact Professor Qiang Ji (qji@ecse.rpi.edu), if you are interested in
getting a copy of the databases.
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