1. Skin Segmentation: The Skin Segmentation dataset is constructed over B, G, R color space. Skin and Nonskin dataset is generated using skin textures from face images of diversity of age, gender, and race people.
2. Localization Data for Person Activity: Data contains recordings of five people performing different activities. Each person wore four sensors (tags) while performing the same scenario five times.
3. Badges: Badges labeled with a "+" or "-" as a function of a person's name
4. Bach Chorales: Time-series data based on chorales; challenge is to learn generative grammar; data in Lisp