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2 | 2 | <img src="https://zenodo.org/badge/DOI/10.5281/zenodo.2554189.svg"> |
3 | 3 | </p> |
4 | 4 |
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| 5 | +## Citation |
| 6 | +This work was accepted to be presented at IWSSIP 2020. If you use this code for your research, please consider citing: |
| 7 | +``` |
| 8 | +@article{padillaCITE2020, |
| 9 | +title = {Survey on Performance Metrics for Object-Detection Algorithms}, |
| 10 | +author = {Rafael Padilla, Sergio Lima Netto and Eduardo A. B. da Silva}, |
| 11 | +booktitle = {International Conference on Systems, Signals and Image Processing (IWSSIP)}, |
| 12 | +year = {2020} |
| 13 | +} |
| 14 | +``` |
| 15 | + |
5 | 16 | # Metrics for object detection |
6 | 17 |
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7 | 18 | The motivation of this project is the lack of consensus used by different works and implementations concerning the **evaluation metrics of the object detection problem**. Although on-line competitions use their own metrics to evaluate the task of object detection, just some of them offer reference code snippets to calculate the accuracy of the detected objects. |
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