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README.md
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---
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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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```
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