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| # CNN demo model on BloodMnist dataset |
| |
| ## About dataset |
| Download address: https://drive.google.com/drive/folders/1Ze9qri1UtAsIRoI0SJ4YRpdt5kUUMBEn?usp=sharing |
| |
| The BloodMNIST , as a sub set of [MedMNIST](https://medmnist.com/), is based on a dataset of individual normal cells, captured from individuals without infection, hematologic or oncologic disease and free of any pharmacologic treatment at the moment of blood collection. |
| It contains a total of 17,092 images and is organized into 8 classes. |
| it is split with a ratio of 7:1:2 into training, validation and test set. |
| The source images with resolution 3×360×363 pixels are center-cropped into 3×200×200, and then resized into 3×28×28. |
| |
| 8 classes of the dataset: |
| ```python |
| "0": "basophil", |
| "1": "eosinophil", |
| "2": "erythroblast", |
| "3": "ig (immature granulocytes)", |
| "4": "lymphocyte", |
| "5": "monocyte", |
| "6": "neutrophil", |
| "7": "platelet" |
| ``` |
| |
| # Run the demo |
| Run |
| ``` |
| python ClassDemo.py |
| ``` |
