CeyMo is a novel benchmark dataset for road marking detection which covers a wide variety of challenging urban, sub-urban and rural road scenarios. The dataset consists of 2887 total images of 1920 × ...
After annotation, an XML file was generated for each image, recording the category information and bounding box coordinates of fruit targets for subsequent supervised training of detection models. In ...
Lesions were annotated as bounding boxes by two radiologists using LabelImg, and the annotations were subsequently cross-checked and reconciled by a senior radiologist (associate chief physician or ...
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