Critical Infrastructures – CI dataset Open Data
CI dataset (Critical Infrastructures) is a dataset prepared for the detection task with Deep Learning models.
CI dataset (Critical Infrastructures) is a dataset prepared for the detection task with Deep Learning models.
DaSCI has created a repository that contains information that promotes lifelong learning and that is highly topical recently. When data privacy is imposed as a necessity, Federated Learning (FL) emerges as a relevant Artificial Intelligence field for developing machine learning models in a distributed and decentralized environment reducing the exposure of sensitive data. This repository […]
MetalDAM is a metallography dataset from additive manufacturing of steels. All images were kindly provided by ArcelorMittal engineers.
MonuMAI-Open Data is a public, knowledge-rich database of monument images that has been created in the context of the MonuMAI Citizen Science project
One Restaurant Corpus (ORCo) is a dataset that consists of opinions about an unique entity or opinion object in the Restaurants domain.
We present the Time-series Industrial Anomaly dataset (TiNA), a new time-series dataset for anomaly detection in an industrial context. The dataset contains the information from the sensor system of a mining machine owned by the company ArcelorMittal. The TiNA dataset provides more than 38 million samples with 108 features in total. The time-step frequency is […]
We present TripAdvisor Monuments (TripM), three new sets of reviews from TripAdvisor referred to the most popular monuments in Spain.
Tripadvisor Restaurant 2020 (TripR-2020) is a dataset of reviews from Tripadvisor about restaurants located in the city of London.
A manually annotated dataset that contains restaurant reviews which are evalaluated through the TripAdvisor platform by multiple users.
Vehicle Identification is a set of vehicle images to perform identification tasks of the brand, model and years of manufacturing.
The weapon data sets that are provided in this section focus specifically on the development of intelligent video surveillance automatic systems.