TXL-PBC_Dataset

TXL-PBC dataset consists of 1260 images and 18143 bounding box annotations. The new dataset is divided into a training set (train: 882), a validation set (val: 252), and a test set (test: 126). They are labeled as 'WBC', 'RBC', and 'Platelet'. The TXL-PBC dataset can be used with object detection frameworks like YOLO.

TXL-PBC数据集包含1260张图像与18143个边界框标注（bounding box annotations）。该新建数据集被划分为训练集（882个样本）、验证集（252个样本）与测试集（126个样本），其标注类别涵盖白细胞（WBC）、红细胞（RBC）与血小板（Platelet）。TXL-PBC数据集可配合YOLO等目标检测框架使用。