metadata
license: cc-by-4.0
Dual Focus: Transforming Negatives into Knowledge — Dataset
This repository contains dataset resources associated with the paper:
Dual Focus: Transforming Negatives into Knowledge
Adrian Maduta, Tudor Ileni, Adrian Darabant
Modeling Decisions for Artificial Intelligence (MDAI 2025)
Lecture Notes in Computer Science / LNAI, vol. 15957, pp. 265–277
Springer, 2026
DOI: 10.1007/978-3-032-00891-6_21
Associated Paper
https://doi.org/10.1007/978-3-032-00891-6_21
Dataset Contents
This repository provides the dataset associated with the experiments described in the paper Dual Focus: Transforming Negatives into Knowledge.
Two YOLOv8-formatted variants are provided:
iris5_yolov8/— baseline/original dataset used for the experiments.iris5_yolov8_with_negatives/— extended variant containing the negative examples introduced for the Dual Focus experiments.
Each dataset is organized into YOLOv8-compatible image and label directories.
Citation
If you use this dataset in your research, please cite the associated paper:
BibTeX
@inproceedings{maduta2026dual,
title = {Dual Focus: Transforming Negatives into Knowledge},
author = {Maduta, Adrian and Ileni, Tudor and Darabant, Adrian},
booktitle = {Modeling Decisions for Artificial Intelligence},
series = {Lecture Notes in Computer Science},
volume = {15957},
pages = {265--277},
publisher = {Springer},
year = {2026},
doi = {10.1007/978-3-032-00891-6_21}
}