Construction and Validation of an Editable Image Dataset for Black Hole Effect Scenes in YOLO Object Detection
- DOI
- 10.3390/s26206615
- Published
- 2026-10-19
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s26206615,
title = {Construction and Validation of an Editable Image Dataset for Black Hole Effect Scenes in YOLO Object Detection},
author = {Jinyu Yang and Yun Chen and Shanhe Lou and Xinliang Geng and Zhongxiang Yang and Tengfei Wang and Yumei Liu and Xinyang Liu and Siying Li and Jinhe Lv and Qiushi Yan and Tie Li and Zhipeng Wang and Longchen Gong and Weirong Shu},
year = {2026},
journal = {Sensors},
doi = {10.3390/s26206615},
url = {https://doi.org/10.3390/s26206615}
}RIS
TY - JOUR TI - Construction and Validation of an Editable Image Dataset for Black Hole Effect Scenes in YOLO Object Detection AU - Jinyu Yang AU - Yun Chen AU - Shanhe Lou AU - Xinliang Geng AU - Zhongxiang Yang AU - Tengfei Wang AU - Yumei Liu AU - Xinyang Liu AU - Siying Li AU - Jinhe Lv AU - Qiushi Yan AU - Tie Li AU - Zhipeng Wang AU - Longchen Gong AU - Weirong Shu PY - 2026 JO - Sensors DO - 10.3390/s26206615 UR - https://doi.org/10.3390/s26206615 ER -
APA
Yang, J., Chen, Y., Lou, S., Geng, X., Yang, Z., Wang, T., Liu, Y., Liu, X., Li, S., Lv, J., Yan, Q., Li, T., Wang, Z., Gong, L., & Shu, W. (2026). Construction and Validation of an Editable Image Dataset for Black Hole Effect Scenes in YOLO Object Detection. Sensors. https://doi.org/10.3390/s26206615
Source records
- crossref · retrieved 2026-11-05T10:28:40.012Z