Blood Collection Needle Image Dataset

In recent years, medical imaging analysis techniques have played an important role in disease screening and diagnosis, but existing datasets often lack diversity and annotation accuracy, leading to poor model training performance. To enhance the application effect of object detection models in medical imaging, this dataset aims to provide high-quality, accurately annotated blood collection needle images. The data is collected via professional medical equipment in real clinical environments, ensuring the authenticity and reliability of the data. The data processing includes multiple rounds of annotation, consistency checks, and expert reviews to ensure high data quality. Data is stored in JPG format, with a clear structure that facilitates subsequent processing and use.