Blood Sample Microscopic Image Classification Dataset
#image classification #computer vision #pattern recognition #biomedical #medical research #disease detection
- 500 records
- 1.3G
- JPG
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
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.
Dataset Insights
Sample Examples
4793a068**.jpg|1920*2560|622.98 KB
099295fd**.jpg|1920*2560|608.47 KB
c8ee227e**.jpg|1920*2560|594.00 KB
a27d1732**.jpg|1920*2560|543.38 KB
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
| Authorization Type | CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike) |
| Commercial Use | Requires exclusive subscription or authorization contract (monthly or per-invocation charging) |
| Privacy and Anonymization | No PII, no real company names, simulated scenarios follow industry standards |
| Compliance System | Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs |
Frequently Asked Questions
- What is the Blood Sample Microscopic Image Classification Dataset?
- The Blood Sample Microscopic Image Classification Dataset is an image dataset used to improve the accuracy of automated blood sample analysis, suitable for scientific research.
- In which research fields is this dataset mainly used?
- This dataset is mainly used in the field of scientific research, particularly for improving the accuracy of automated blood analysis.
- What are the benefits of using this dataset?
- Using this dataset can enhance the automation accuracy of blood sample analysis, saving time and reducing human errors.
- What types of images are included in the Blood Sample Microscopic Image Classification Dataset?
- While specific details are not provided, this type of dataset typically includes microscopic images of different blood cell types for use in classification algorithms.
- How can the Blood Sample Microscopic Image Classification Dataset be used in scientific research?
- Researchers can use this dataset to train machine learning models for automatic identification and classification of different cell types in blood samples.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Blood Sample Microscopic Image Classification Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/51fbe613b0b0ade028b1720cacc5e015},
urldate={2026-02-04},
keywords={blood image classification, biomedical imaging, microscope blood samples},
version={1.0}
}Using this in research? Please cite us.
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