 A new SAR dataset has been created, consisting of 43,819 ship chips of 256 pixels in both range and azimuth. The dataset was labeled by SAR experts and contains ships with distinct scales and backgrounds. Additionally, modified state-of-the-art object detectors were trained and tested on this dataset. The results showed that these object detectors achieved higher mean average precision map on the test dataset and had high generalization performance on new SAR imagery without land-ocean segmentation. This article was authored by UNUN Wang, Chao Wang, Hong Sheng, and others.