| # Blood Cell Detection > 2022-10-27 4:01pm |
| https://universe.roboflow.com/team-roboflow/blood-cell-detection-1ekwu |
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| Provided by a Roboflow user |
| License: Public Domain |
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| # Overview |
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| This is a dataset of blood cells photos, originally open sourced by [cosmicad](https://github.com/cosmicad/dataset) and [akshaylambda](https://github.com/akshaylamba/all_CELL_data). |
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| There are 364 images across three classes: `WBC` (white blood cells), `RBC` (red blood cells), and `Platelets`. There are 4888 labels across 3 classes (and 0 null examples). |
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| Here's a class count from Roboflow's Dataset Health Check: |
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| And here's an example image: |
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| `Fork` this dataset (upper right hand corner) to receive the raw images, or (to save space) grab the 500x500 export. |
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| # Use Cases |
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| This is a small scale object detection dataset, commonly used to assess model performance. It's a first example of medical imaging capabilities. |
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| # Using this Dataset |
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| We're releasing the data as public domain. Feel free to use it for any purpose. |
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| It's not required to provide attribution, but it'd be nice! :) |
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| # About Roboflow |
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| [Roboflow](https://roboflow.ai) makes managing, preprocessing, augmenting, and versioning datasets for computer vision seamless. |
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| Developers reduce 50% of their boilerplate code when using Roboflow's workflow, automate annotation quality assurance, save training time, and increase model reproducibility. |
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| #### [](https://roboflow.ai) |
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