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


Repository Web            Google
View ALL Data Sets

Browse Through:

Default Task - Undo

Classification (10)
Regression (2)
Clustering (4)
Other (4)

Attribute Type

Categorical (0)
Numerical (9)
Mixed (1)

Data Type - Undo

Multivariate (39)
Univariate (3)
Sequential (7)
Time-Series (10)
Text (12)
Domain-Theory (1)
Other (2)

Area - Undo

Life Sciences (12)
Physical Sciences (5)
CS / Engineering (49)
Social Sciences (0)
Business (6)
Game (0)
Other (10)

# Attributes

Less than 10 (0)
10 to 100 (6)
Greater than 100 (1)

# Instances

Less than 100 (0)
100 to 1000 (2)
Greater than 1000 (6)

Format Type

Matrix (8)
Non-Matrix (2)

10 Data Sets

Table View  List View


1. 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.

2. Australian Sign Language signs: This data consists of sample of Auslan (Australian Sign Language) signs. Examples of 95 signs were collected from five signers with a total of 6650 sign samples.

3. 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

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

5. Spoken Arabic Digit: This dataset contains timeseries of mel-frequency cepstrum coefficients (MFCCs) corresponding to spoken Arabic digits. Includes data from 44 male and 44 female native Arabic speakers.

6. 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.

7. User Identification From Walking Activity: The dataset collects data from an Android smartphone positioned in the chest pocket from 22 participants walking in the wild over a predefined path.

8. 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.

9. 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.

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


Supported By:

 In Collaboration With:

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