Explainable Abstract Trains Dataset
This dataset provides a platform for researchers to develop and test algorithms for explainable AI, specifically in the context of image classification and justification extraction.
The Explainable Abstract Trains Dataset is an image dataset of simplified train representations, designed to facilitate research into justification and explanation extraction algorithms. It includes an ontology for classifying trains based on visual characteristics, along with annotations for train features and bounding boxes for train elements.
The Explainable Abstract Trains Dataset is an image dataset containing simplified representations of trains. It aims to provide a platform for the application and research of algorithms for justification and explanation extraction. The dataset is accompanied by an ontology that conceptualizes and classifies the depicted trains based on their visual characteristics, allowing for a precise understanding of how each train was labeled. Each image in the dataset is annotated with multiple attributes describing the trains' features and with bounding boxes for the train elements.