---
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

```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}
}
```