TXL-PBC dataset

The TXL-PBC Dataset is a comprehensive collection of re-annotated and integrated cell images from multiple cell datasets. The main objective of this study is to perform sample reduction, re-labeling, and integration from BCCD and BCD datasets. Then, the original dataset is integrated with two new cell datasets, PBC dataset Peripheral Blood Cells and Raabin-WBC dataset Raabin White Blood Cells, to create a high-quality, sample balanced new dataset. We call it TXL-PBC dataset. We use the Labelimg tool Semi-automated labeling is performed using YOLOv8n.to annotate all the datasets. It is specifically designed for evaluating various object detection models, especially those that use the YOLO format.