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README.md

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+---
+tags:
+- image classification
+- computer vision
+- pattern recognition
+- biomedical
+- medical research
+- disease detection
+license: cc-by-nc-sa-4.0
+task_categories:
+- image-classification
+language:
+- en
+pretty_name: Blood Sample Microscopic Image Classification Dataset
+size_categories:
+- 1B<n<10B
+---
+
+# 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
+
+| Field | Type | Description |
+| :---  | :---  | :--- |
+| file_name | string | File name |
+| quality | string | Resolution |
+| cell_type | string | The type of blood sample cells in the microscopic image, such as red blood cells, white blood cells, etc. |
+| magnification_level | integer | The magnification level used when capturing the microscopic image. |
+| staining_method | string | The staining technique used for blood samples in the microscopic image. |
+| image_quality | string | The clarity or resolution grade of the microscopic image. |
+| artifact_presence | boolean | Indicates whether there are any artifacts or background interferences in the microscopic image. |
+| contrast_level | integer | The intensity of the contrast level in the microscopic image. |
+| color_space | string | The color space used in the microscopic image, such as RGB, CMYK, etc. |
+| focus_level | string | The degree of focus in the microscopic image, indicating if the image is sharp. |
+| image_artifact_type | string | The type of artifacts present in the microscopic image. |
+| region_of_interest | string | Regions 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](https://www.mobiusi.com/datasets/51fbe613b0b0ade028b1720cacc5e015?utm_source=huggingface&utm_medium=referral). or contact us via contact@mobiusi.com