The sample dataset, called the AUTH-Unreal-Wildfire (AUW) dataset, is a synthetic collection created to advance deep learning for wildfire segmentation. It addresses the critical challenge of obtaining accurately annotated training data in natural disaster management by using a novel, open-source pipeline built with the AirSim simulator. This pipeline uniquely integrates a custom particle segmentation camera… Continue reading AUW Dataset
Archives: Resources
Resource description
TEMA AIIA_flood Dataset
The dataset for the flood binary segmentation task comprises 720 images consolidated from two sources: D_Mallian_1 and BRK_1 trials. It is structured into distinct directories for each source (d_mallian_1 and brk_1), each containing standard train and val splits with separate folders for images (.jpg) and labels (.png). The annotation masks are binary, where pixels are labeled as 0 for background… Continue reading TEMA AIIA_flood Dataset
TEMA AIIA_wildfire Dataset
The TEMA AIIA_wildfire dataset is a collection of 2,237 natural disaster images designed for semantic segmentation, focusing on burnt areas, smoke, and fire. It aggregates and standardizes images from three distinct sources: the BLAZE classification dataset (a subset of which we annotated), KAHY trials, and RAS. The dataset is organized by source (BLAZE1, KAHY, RAS),… Continue reading TEMA AIIA_wildfire Dataset
AI ethics in action: the case of the EU’s ethics review procedure
Uploaded by AUTH The talk/presentation will provide a comprehensive overview of the main ethical risks and issues raised by AI but also of the ethical principles/declarations put forward by various actors at the national and international levels. The talk will focus on the European Commission’s efforts to operationalize high-level ethical principles and requirements in the… Continue reading AI ethics in action: the case of the EU’s ethics review procedure
Designing AI tools to enhance teaching and learning: A design thinking approach
Uploaded by AUTH Artificial Intelligence (AI) has the potential to revolutionise education by enhancing learning experiences for students and teaching processes for educators. This interactive training explores how AI tools can be designed to address key educational challenges, such as collaboration, boosting learning motivation and reducing cognitive load, through the lens of psychological theories and… Continue reading Designing AI tools to enhance teaching and learning: A design thinking approach
AI bias: overview, measurement, mitigation and application to computer vision
Uploaded by AUTH AI bias is an emerging concern in the field of AI, due to the widespread deployment of AI-based services and applications with ubiquitous effects on our daily lives. AI bias is particularly important in high-stakes decision making scenarios such as CV ranking and hiring, credit scoring and recidivism prediction, but it is… Continue reading AI bias: overview, measurement, mitigation and application to computer vision