Releasing an Improved Blood Count and Cell Detection (BCCD) Dataset
Blog post from Roboflow
Computer vision is significantly enhancing medical diagnostics by aiding doctors in identifying patterns and potential errors in diagnoses. A notable dataset in this field is the Blood Count and Cell Detection (BCCD) dataset, which contains 364 images of blood cells categorized into three classes: white blood cells (WBC), red blood cells (RBC), and platelets. Initially released by cosmicad and akshaylambda, the dataset has undergone further scrutiny by the Roboflow team, who found opportunities for improved labeling. Although not experts in cell biology, the team identified and added 187 missing labels, enhancing the dataset's accuracy and utility for training object detection models. The improved dataset is available for free, and Roboflow plans to conduct tests to explore the impact of these missing labels on model performance.