Blood group slide image dataset
Published: 9 September 2026| Version 2 | DOI: 10.17632/8m548j9m76.2
Contributors:
venkata sai charan koppuravuri, Description
The dataset comprises 565 blood group images categorised into eight classes: A-positive, A-negative, B-positive, B-negative, AB-positive, AB-negative, O-positive, and O-negative. The original images are stored in the Original Dataset folder, while the corresponding bounding-box annotation files are provided in the Labels folder. The images were annotated using LabelImg, with bounding boxes generated for each individual blood drop corresponding to the Anti-A, Anti-B, Anti-D reagents. Each image is associated with its respective annotation file containing the coordinates of the annotated regions. All images in the dataset are provided in JPEG (.jpg) format.
Files
Institutions
- SRM University, Andhra PradeshAndhra Pradesh, Mangalagiri
Categories
Computer Vision, Annotation, Image Classification, Immunohematology, Deep Learning, Blood Analysis