TXL PBC Dataset

The TXL-PBC dataset is a publicly available, high-quality resource for peripheral blood cell image analysis, addressing limitations in existing datasets like labeling errors and insufficient sample size. Current research focuses on improving the accuracy and generalizability of deep learning models, such as YOLO variants, for blood cell detection and classification using this dataset. This improved dataset and associated research efforts are significant for advancing automated blood cell analysis, potentially impacting diagnostics and healthcare applications.