Developing a YOLOv3-Based Neural Network to Enable Digital Cameras to Detect Features on the Reflective Surface of Objects in Robotic Applications: A Low-Computational Approach with a New Public Dataset
- DOI
- 10.20944/preprints202403.0221.v1
- Published
- 2024-03-05
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- Publisher
- MDPI AG
- Open access
- unknown
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BibTeX
@article{allodium:10.20944/preprints202403.0221.v1,
title = {Developing a YOLOv3-Based Neural Network to Enable Digital Cameras to Detect Features on the Reflective Surface of Objects in Robotic Applications: A Low-Computational Approach with a New Public Dataset},
author = {Albin Bajrami and Matteo Claudio Palpaceli},
year = {2024},
doi = {10.20944/preprints202403.0221.v1},
url = {https://doi.org/10.20944/preprints202403.0221.v1}
}RIS
TY - JOUR TI - Developing a YOLOv3-Based Neural Network to Enable Digital Cameras to Detect Features on the Reflective Surface of Objects in Robotic Applications: A Low-Computational Approach with a New Public Dataset AU - Albin Bajrami AU - Matteo Claudio Palpaceli PY - 2024 DO - 10.20944/preprints202403.0221.v1 UR - https://doi.org/10.20944/preprints202403.0221.v1 ER -
APA
Bajrami, A., & Palpaceli, M. C. (2024). Developing a YOLOv3-Based Neural Network to Enable Digital Cameras to Detect Features on the Reflective Surface of Objects in Robotic Applications: A Low-Computational Approach with a New Public Dataset. https://doi.org/10.20944/preprints202403.0221.v1
Source records
- crossref · retrieved 2026-09-25T20:56:45.295Z