MariSat：用于卫星与航拍图像中物体实例分割的海事数据集
MariSat: A Maritime Dataset for Instance Segmentation of Objects in Satellite and Aerial Images
- University of Carthage（迦太基大学）
- University of Gabes（加贝斯大学）
- University of Rouen Normandie（鲁昂诺曼底大学）
- ESIGELEC（法国高等电气与电子工程学院）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
该研究提出新的海事基准数据集MariSat，经半自动化标注流程生成，用于卫星与航拍图像中8类海事物体的实例分割，已被用于微调及基准测试SAM 3、YOLO11模型以实现实时海事监视。
AI中文摘要：
卫星与航拍图像的自动化海事监视需要大量精确标注的数据集，但实例分割任务的相关数据集仍很稀缺，尤其是杂乱港口环境中的小型船舶。我们提出MariSat，这是一个新的基准数据集，包含1260张覆盖不同港口与沿海场景的航拍及卫星图像，针对8类海事物体进行像素级标注（帆船、游艇、喷气滑艇、渔船、游轮、军用舰艇、拖船及货船）。该数据集通过半自动化标注流程生成，结合了可文本提示的分割模型SAM 3，以及一系列几何与比色后处理滤波器，随后在CVAT标注平台上进行人工校正与质量控制。我们描述了图像采集方法、标注与校正流程及最终数据组织形式，还报告了训练、验证及测试划分的类别统计数据。MariSat已被用于对分割与检测模型（SAM 3和YOLO11）进行微调及基准测试，以实现实时海事监视，我们报告了两项任务的详细定量及分类别结果。MariSat数据集可在GitHub上公开获取：此URL
英文摘要：
Automated maritime surveillance from satellite and aerial imagery requires large, precisely annotated datasets, which remain scarce for the instance-segmentation task, particularly for small vessels in cluttered port environments. We present MariSat, a new benchmark dataset of 1260 aerial and satellite images covering diverse port and coastal scenes, annotated at the pixel level for eight maritime object classes (sailboat, yacht, jet-ski, fishing boat, cruise ship, military vessel, tugboat and cargo ship). The dataset was produced through a semi-automatic annotation pipeline combining the textpromptable segmentation model SAM 3 with a cascade of geometric and colorimetric post-processing filters, followed by a manual correction and quality-control pass performed with the CVAT annotation platform. We describe the image-collection methodology, the annotation and correction process, and the resulting data organization. We also report class-wise statistics for the training, validation, and test splits. MariSat has already been used to fine-tune and benchmark segmentation and detection models (SAM 3 and YOLO11) for real-time maritime monitoring. We report detailed quantitative and per-class results for both tasks. The MariSat dataset is publicly available on GitHub : https://github.com/amirabbes/P2M-Maritime-Segmentation
