Displaying 107 resources

Bus Violence: a large-scale benchmark for video violence detection in public transport

The Bus Violence dataset is a large-scale collection of videos depicting violent and non-violent situations in public transport environments.

Category
Data sharing and Data spaces
Target audience
ADR Experts and Associations, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e
Software resources Software resources

The ImageCLEFAware 2021 Dataset

Images constitute a large part of the content shared on social networks.

Category
Data sharing and Data spaces
Target audience
ADR Experts and Associations, Researchers and Academic
Source
Adra-e
Software resources Software resources

100-Driver: A Large-scale, Diverse Dataset for Distracted Driver Classification

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.

Category
Data sharing and Data spaces
Target audience
Individual Citizens/Members of the Society, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e
Tutorial/How To/Guides Tutorial/How To/Guides

OzoBot

Ozobot is redefining the role of robotics in education with our award-winning coding robots and STEAM-based learning solutions.

Category
Sensing and processing methods
Target audience
Individual Citizens/Members of the Society, Researchers and Academic
Source
Adra-e
Video/Webinars Video/Webinars

SAFEXPLAIN Introduction to Trustworthy AI for Safety-Critical Systems

This introductory video provides an overview of the steps taken by the SAFEXPLAIN project to ensure that the AI-based solutions used in safety-critical systems are Trustworthy, explainable and comply with the safety guidelines of diverse industria

Category
Data flow standards, Certification and Compliance, Trustworthiness
Target audience
Individual Citizens/Members of the Society, Policy Makers, Private Sector
Source
Adra-e
Certification Certification

ALIGNER Fundamental Rights Impact Assessment

Artificial intelligence can enhance law enforcement agencies’ capabilities to prevent, investigate, detect and prosecute crimes, as well as to predict and anticipate them.

Category
Action and Interaction Technologies, Edge-based AI, Multi-modal interaction, Real-time context aware decision making, Semantic knowledge, Sensing of motion and mechanical properties, Fundamental Rights, Principles, and Values, Multistakeholder dialogue, Understanding of the fundamental rights and values, Policy, Regulation, Certificates, and Standards, Best practices in deployment, Certification and Compliance, Legal framework and regulation, Reasoning and decision-making Technologies, Hybrid Decision Making, Reasoning Techniques, Trustworthiness, Sensing and perception technologies, Architecture of sensing and perception systems, Meta-data contexts, Sensing and processing methods, Systems, methodologies, hardware, and tools, Support tools, System architectures, Technology methodologies and landscape
Target audience
Public Sector
Source
Adra-e