RECLAIM - Annotation tool
The presented service offers a new annotation tool, developed to facilitate image annotation needs in the RECLAIM project.
The presented service offers a new annotation tool, developed to facilitate image annotation needs in the RECLAIM project.
A list of questionnaires, created by AUTH, for PhD student knowledge assessment on AI-related topics (ML, CV, DL, etc.).
The exercises presented here have been developed by AIIA students and researchers in the framework of EC-funded R&D projects MULTIDRONE or AerialCore or for AUTH undergraduate and graduate courses on Computer Vision, Pattern Recognition, Machine Learning ...
This service consists of AI-driven weed detection, aimed at identifying and managing weeds in agriculture, significantly reducing crop loss and promoting sustainable farming practices.
The presented service offers insect detection and counting, enhancing agricultural management and environmental sustainability through innovative AI technology.
This service uses AI for precise fruit disease detection and fruit counting, enhancing agricultural productivity, optimizing crop management, and promoting good practices in modern agriculture.
Introducing our visualization tool, we leverage the capability to transform UAV footage into detailed 3D models of agricultural environments. This innovation is pivotal in enabling precise measurement and monitoring of crops, marking a significant advance...
This application enhances agricultural safety by facilitating collaboration between human operators and autonomous robots on the same land sections simultaneously. Addressing the increasing need for robotic solutions in agriculture due to labor shortages ...
This application enhances agricultural safety by facilitating collaboration between human operators and autonomous robots on the same land sections simultaneously. Addressing the increasing need for robotic solutions in agriculture due to labor shortages ...
This application enhances agricultural safety by facilitating collaboration between human operators and autonomous robots on the same land sections simultaneously. Addressing the increasing need for robotic solutions in agriculture due to labor shortages ...
The model was designed for tree-crops semantic-segmentation and created using the AI4Copernicus service: “Deep network for pixel-level classification of S2 patches"