Welcome to the AI Assets Catalog! Here you can browse, search and download all the assets currently indexed in the AI-on-Demand platform, including AI libraries, datasets, containers, and more. You are welcome to publish your own AI assets here! To do so, log in in to the platform, go to your dashboard and use the Submit new content button to access the submission forms.
The model was designed for tree-crops semantic-segmentation and created using the AI4Copernicus service: “Deep network for pixel-level classification of S2 patches"
NN-SPM estimates ship fuel consumption taking into consideration weather and operational conditions.
LexaTexer provides an Enterprise AI platform to support the energy value chain with prebuilt, configurable AI applications addressing CAPEX intense hydro assets like Pelton and Francis turbines and pumps. In this project we combine our Enterprise AI platf...
A workflow for the specific case of process monitoring data which contains cycles repeating over a long time is presented. The method relies on predefined features ideally used as health-indicators which are aggregated over the cycles. Anomaly detection, ...
Atcrecognize extracts text from images that contain label tags. Using its underlying deep learning technology, atcrecognize enhances the image, removes the unnecessary parts of the image, and feeds into the ocr model that extracts the text with more preci...
In the context of AI4CZC project, this model forecasts the Montenegro net position (difference between generation and load) for the next 48h. The model was trained with data from 2019 to 2021 and tested on 2022 data. It performs with a MAE of 75.8 and a R...
THRUST-AID YOLOv8-based Clearing Object Detection model will help investigate the surroundings of the powerline based on RGB aerial data and indicate potential threats
The Machine Learning (ML) models used to predict both energy needs and future environmental parameters of the some retail stores in Italy
The AI4CNC experiment is designed to develop a Federated Learning System Platform for CNC machines to estimate tool wear through AI models and secure data sharing. The main objective is to use data from TEKNOPAR's CNC machines and sensors to estimate tool...
OPTIMAL for cOPernicus irrigaTION mAnagement tooLkit is a combination of state-of-the-art Machine Learning techniques that is designed to forecast environmental parameters which enable the delivery of irrigation needs intelligence. The model presented ...