Multi-class blood smear images with YOLO annotations. The dataset is hosted on Kaggle. The author, organization, and last update date are unknown.
Use Cases
- Train object detection models based on YOLO annotations for blood cell types.
- Develop automated blood cell classification systems based on annotated smear images.
- Benchmark multi-class detection algorithms based on medical imaging data.
Strengths
- Images are annotated for object detection using the YOLO format.
- The dataset is focused on a multi-class medical imaging task.
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download.
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.