Center for Machine Learning and Intelligent Systems
About  Citation Policy  Donate a Data Set  Contact

Repository Web            Google
View ALL Data Sets

× Check out the beta version of the new UCI Machine Learning Repository we are currently testing! Contact us if you have any issues, questions, or concerns. Click here to try out the new site.

Browse Through:

Default Task - Undo

Classification (7)
Regression (1)
Clustering (3)
Other (0)

Attribute Type - Undo

Categorical (0)
Numerical (7)
Mixed (1)

Data Type - Undo

Multivariate (20)
Univariate (1)
Sequential (4)
Time-Series (7)
Text (3)
Domain-Theory (0)
Other (0)

Area - Undo

Life Sciences (8)
Physical Sciences (3)
CS / Engineering (32)
Social Sciences (0)
Business (6)
Game (0)
Other (7)

# Attributes

Less than 10 (0)
10 to 100 (4)
Greater than 100 (1)

# Instances

Less than 100 (0)
100 to 1000 (2)
Greater than 1000 (4)

Format Type - Undo

Matrix (7)
Non-Matrix (2)

7 Data Sets

Table View  List View

1. Activity Recognition from Single Chest-Mounted Accelerometer: The dataset collects data from a wearable accelerometer mounted on the chest. The dataset is intended for Activity Recognition research purposes.

2. Synthetic Control Chart Time Series: This data consists of synthetically generated control charts.

3. Japanese Vowels: This dataset records 640 time series of 12 LPC cepstrum coefficients taken from nine male speakers.

4. Australian Sign Language signs (High Quality): This data consists of sample of Auslan (Australian Sign Language) signs. 27 examples of each of 95 Auslan signs were captured from a native signer using high-quality position trackers

5. Gesture Phase Segmentation: The dataset is composed by features extracted from 7 videos with people gesticulating, aiming at studying Gesture Phase Segmentation. It contains 50 attributes divided into two files for each video.

6. Crop mapping using fused optical-radar data set: Combining optical and PolSAR remote sensing images offers a complementary data set with a significant number of temporal, spectral, textural, and polarimetric features for cropland classification.

7. Human Activity Recognition from Continuous Ambient Sensor Data: This dataset represents ambient data collected in homes with volunteer residents. Data are collected continuously while residents perform their normal routines.

Supported By:

 In Collaboration With:

About  ||  Citation Policy  ||  Donation Policy  ||  Contact  ||  CML