asergiu/DualFocusTransformingNegativesIntoKnowledgeDataset

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}
}