A large-scale, diverse posture-based distracted diver dataset, with more than 470K images taken by 4 cameras observing 100 drivers over 79 hours from 5 vehicles. read more of 100-Driver: A Large-scale, Diverse Dataset for Distracted Driver Classification

The Aristotle University of Thessaloniki (hereinafter, AUTH) created the following dataset, entitled ‘Blaze’, within the context of the project TEMA that was funded by the European Commission-European Union [Grant Agreement number: 101093003; start date: ... read more of Blaze Fire Classification – Segmentation Dataset

A Dataset with Energy Efficiency Measures available for renovations provided by REA (Riga Energy Agency) read more of Latvian Residential Buildings Energy Efficiency Measures Dataset

The dataset was designed for prediction of vegetation health on Sentinel-2 imagery and utilized in the AI4Copernicus service: “Long Short-Term Memory Neural Network for NDVI prediction" in which an LSTM neural network was trained in order to create an AI ... read more of A spatiotemporal dataset for NDVI prediction on Sentinel-2 imagery

The dataset was designed for semantic-segmentation-based deep learning models and utilized in the AI4Copernicus service: “Deep network for pixel-level classification of S2 patches" in which a U-net neural network was used in order to create an AI model fo... read more of A dataset for tree-crops prediction in Sentinel-2 imagery

We present here three scenarios of 24h that we used to test the AI4CZC model. These scenarios include an usual day scenario, a scenario where the Montenegro thermal plant is down, and a scenario were the cable between Montenegro and Italy is down. read more of AI4CZC model testing scenarios

Land type: build-up, rural, forest, and water read more of Training dataset for land type detection on Sentinel-2 images

This dataset presents an estimation of the emissions by kWh of CO2 equivalent of the generation types of Montenegro, Serbia, Bosnia, Italy Center-South and Kosovo read more of Montenegro and neighboring countries emissions by generation type

In order to develop predictive maintenance algorithms to determine the RUL (Remaining Useful Lifetime) of ball screws a solid, high quality data base is crucial. To build this data base a test bench has been built to collect data under laboratory conditio... read more of Ball Screw Test Bench Dataset

The Aristotle University of Thessaloniki created the Mastodon posts dataset within the context of the project TEMA (Trusted Extremely Precise Mapping and Prediction for Emergency Management; Grant Agreement No. 101093003; Call: HORIZON-CL4-2022-DATA-01; T... read more of Mastodon posts dataset