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Mobiusi/Blood-Sample-Microscopic-Image-Classification-Dataset

Blood Sample Microscopic Image Classification Dataset Current scientific research in medical testing relies on manual analysis by experts, which is time-consuming and prone to human error. Existing automated analysis systems lack precision when processing different types of blood samples. This dataset aims to establish an efficient deep learning model to enhance the classification and detection of different types of blood cells under the microscope, meeting the needs of rapid… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Blood-Sample-Microscopic-Image-Classification-Dataset.

sourceHugging Facecc-by-nc-sa-4.0updated 7mo agoView on Hugging Face
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Blood Sample Microscopic Image Classification Dataset

Current scientific research in medical testing relies on manual analysis by experts, which is time-consuming and prone to human error. Existing automated analysis systems lack precision when processing different types of blood samples. This dataset aims to establish an efficient deep learning model to enhance the classification and detection of different types of blood cells under the microscope, meeting the needs of rapid medical diagnosis and research. Data collection is conducted using high-resolution microscopes in a standardized laboratory environment to ensure consistency in sample collection. Quality control involves multiple rounds of annotation and consistency checks, ensuring each image is accurately annotated and reviewed by experts. The annotation team consists of professionals with a biomedical background, totaling 20 people. Data preprocessing includes techniques such as image denoising, normalization, and augmentation, stored in JPG format, organized by sample category.

Technical Specifications

FieldTypeDescription
file_namestringFile name
qualitystringResolution
cell_typestringThe type of blood sample cells in the microscopic image, such as red blood cells, white blood cells, etc.
magnification_levelintegerThe magnification level used when capturing the microscopic image.
staining_methodstringThe staining technique used for blood samples in the microscopic image.
image_qualitystringThe clarity or resolution grade of the microscopic image.
artifact_presencebooleanIndicates whether there are any artifacts or background interferences in the microscopic image.
contrast_levelintegerThe intensity of the contrast level in the microscopic image.
color_spacestringThe color space used in the microscopic image, such as RGB, CMYK, etc.
focus_levelstringThe degree of focus in the microscopic image, indicating if the image is sharp.
imageartifacttypestringThe type of artifacts present in the microscopic image.
regionofintereststringRegions in the microscopic image that require focused analysis or attention.

Compliance Statement

<table> <tr> <td>Authorization Type</td> <td>CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)</td> </tr> <tr> <td>Commercial Use</td> <td>Requires exclusive subscription or authorization contract (monthly or per-invocation charging)</td> </tr> <tr> <td>Privacy and Anonymization</td> <td>No PII, no real company names, simulated scenarios follow industry standards</td> </tr> <tr> <td>Compliance System</td> <td>Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs</td> </tr> </table>

Source & Contact

If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com