Skip to main content

Artificial Intelligence

130 videos are available, captured in Patras, Greece, displaying drivers in real cars, moving under nighttime conditions where drowsiness detection is more important.The participating drivers are: 11 males and 10 females with different features (hair color, beard, glasses, etc). The videos are split in 2 categories:

Categories:

content-based dataset that composes of 12 features for eight common types of files (JPG, PNG, HTML, TXT, MP4, M4A, MOV, and MP3) to be suitable for file type identification (FTI). These features were extracted from pool of file fragment of size 512 byte each from all the prementioned eight types. This dataset is developed in such a way that can be used for supervised and unsupervised ML model. It provides the ability to classifying and clustering the above-mentioned type into two levels.

Categories:

The Electric Power Research Institute (EPRI) is building a community to advance utility infrastructure inspection. To jumpstart collaboration EPRI is sharing labeled datasets. These data may support immediate and future research. Advances in automated inspection workflows can benefit society. Future tools may revolutionize traditional workflows and have safety, quality, and efficiency benefits to utilities and consumers. More situational awareness of eclectic utility infrastructure can reduce the likelihood of in-service equipment failures.

Categories:

  This dataset is comprised of two parts. In dataset 1, we provide Buddha images, along with positions of hands and faces. Dataset 2 provides Buddha images only and can be used for Buddha statue classification.

Categories:

This dataset contains information about Android app users’ reviews crawled from https://play.google.com/store/apps from 2022/4/2 to 2022/4/14. User reviews of 24 Korean trading apps were collected from Google Play Store, and the total number of the collected reviews is 41,705. App name, user ID, review content, rating, and date information were collected for each review by web crawling. The entire dataset is in Korean. 

Categories:

Although several databases of handwriting movements have been created so, none of them has been specifically designed for studying the effect of age during ellipse drawing. Ninety subjects voluntarily participated in the database construction. Their age ranged from 19 to 85 years: 30 participants in the range [19, 39] years, 30 in the range [40, 59] and 30 subjects in the range [60, 85]. Twenty-six women (range 19-72 years) and sixty-four men (range 25-85 years) participated. The oldest subjects have been recruited in retirement homes in the towns of Tunis, Sfax, and Gafsa in Tunisia.

Categories: