This is update for our SAR-Ship-Dataset! We correct some errors such as bounding box errors and repeat clips. Now, the format of label files is ".txt" of which each line represents a ship. Each line of label fi
SAR-Ship-Dataset This dataset labeled by SAR experts was created using 102 Chinese Gaofen-3 images and 108 Sentinel-1 images. It consists of 43,819 ship chips of 256 pixels in both range and azimuth. These ships mainly have distinct scales and backgrounds. It can be used to develop object...
这是我们的SAR-Ship-Dataset的更新! 我们更正了一些错误,例如边界框错误和重复剪辑。 现在,标签文件的格式为“ .txt”,其中每行代表一艘船。 标签文件的每一行包含五个数字: 船只的类别,芯片中的船只中心的规格化列值,船只中心的规格化行值,规格化的船只宽度和规格化的船只长度。 在现阶段,我们将所有船只标记为...
【SAR-Ship-Dataset 船舶检测数据集】’SAR-Ship-Dataset - labeled by SAR experts was created using 102 Chinese Gaofen-3 images and 108 Sentinel-1 images' by CAESAR-Radi 《A SAR Dataset of Ship Detection for Deep Learning under Complex Backgrounds》 Githut: O网页链接 转自@爱可可-爱生活 ...
Issues: CAESAR-Radi/SAR-Ship-DatasetLabels 8 Milestones 0 New issue 59 Open 10 Closed Author Label Projects Milestones Assignee Sort Issues listLicense of Dataset #70 opened Jan 24, 2025 by nilsleh 您好,舰船信息的TXT文件打开后只有类似“0 0.939453125 0.93359375 0.07421875 0.125”的小数 #69 ...
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“FUSAR-Ship:building a high-resolution SAR-AIS matchup dataset of Gaofen-3 for ship detection and recognition”出自《中国科学》期刊2020年第4期文献,主题关键词涉及有FUSAR-Ship、Gaofen-3、SAR-AISmatchup、automatictargetrecognition、multi-scaleCFAR、deeple
If you feel this dataset is useful, please cite as the following format. [1] Shunjun Wei ; Xiangfeng Zeng ; Qizhe Qu ; Mou Wang ; Hao Su ; Jun Shi.HRSID: A High-Resolution SAR Images Dataset for Ship Detection and Instance Segmentation. IEEE Access...
This branch is up to date withCAESAR-Radi/SAR-Ship-Dataset:master. This dataset labeled by SAR experts was created using 102 Chinese Gaofen-3 images and 108 Sentinel-1 images. It consists of 43,819 ship chips of 256 pixels in both range and azimuth. These ships mainly have distinct scales...
Paper tables with annotated results for A Visual Question Answering Method for SAR Ship: Breaking the Requirement for Multimodal Dataset Construction and Model Fine-Tuning