https://github.com/TianwenZhang0825/Official-SSDD
SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis
https://github.com/TianwenZhang0825/Official-SSDD
Last synced: 22 days ago
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SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis
- Host: GitHub
- URL: https://github.com/TianwenZhang0825/Official-SSDD
- Owner: TianwenZhang0825
- License: apache-2.0
- Created: 2021-08-26T07:30:55.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2022-08-12T07:49:33.000Z (over 3 years ago)
- Last Synced: 2024-05-14T00:54:39.402Z (over 1 year ago)
- Homepage:
- Size: 23.4 KB
- Stars: 42
- Watchers: 1
- Forks: 2
- Open Issues: 1
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-object-detection-datasets - Official-SSDD - SSDD?style=social"/> : "SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis ". (**[Remote Sensing, 2021](https://www.mdpi.com/2072-4292/13/18/3690)**) (SAR Image Datasets)
- awesome-yolo-object-detection - Official-SSDD - SSDD?style=social"/> : "SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis ". (**[Remote Sensing, 2021](https://www.mdpi.com/2072-4292/13/18/3690)**) (Anti-UAV Datasets)
README
SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis
https://drive.google.com/file/d/1glNJUGotrbEyk43twwB9556AdngJsynZ/view?usp=sharing
https://pan.baidu.com/s/1Lpg28ZvMSgNXq00abHMZ5Q password: 2021
Please cite this paper:
T. Zhang et al., "SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis," Remote Sens., vol. 13, no. 18, pp. 1–41, 2021, Art. no. 3690.
==============
SL-SSDD: Sea-Land Segmentation Dataset for SSDD
SL-SSDD is the first synergistic sea-land segmentation dataset tailored for deep learning-based SAR ship detection, built upon the well-established SAR Ship Detection Dataset (SSDD). It addresses the critical gap of lacking sea-land prior information in existing SAR ship detection datasets, enabling models to fully distinguish between sea and land regions for more accurate detection.
Download & Citation
Dataset Link: https://github.com/Han-Ke/SL-SSDD
Please cite this paper:
Ke, H.; Ke, X.; Zhang, Z.; Chen, X.; Xu, X.; Zhang, T. SLA-Net: A Novel Sea–Land Aware Network for Accurate SAR Ship Detection Guided by Hierarchical Attention Mechanism. Remote Sens. 2025, 17, 3576. https://doi.org/10.3390/rs17213576