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