Thamer/resnet-fine_tuned
Image Classification
•
Updated
•
539
image
imagewidth (px) 128
128
| label
class label 4
classes |
---|---|
2Non_Demented
|
|
0Mild_Demented
|
|
3Very_Mild_Demented
|
|
3Very_Mild_Demented
|
|
2Non_Demented
|
|
2Non_Demented
|
|
2Non_Demented
|
|
2Non_Demented
|
|
3Very_Mild_Demented
|
|
2Non_Demented
|
|
2Non_Demented
|
|
1Moderate_Demented
|
|
2Non_Demented
|
|
3Very_Mild_Demented
|
|
2Non_Demented
|
|
3Very_Mild_Demented
|
|
3Very_Mild_Demented
|
|
0Mild_Demented
|
|
3Very_Mild_Demented
|
|
2Non_Demented
|
|
3Very_Mild_Demented
|
|
0Mild_Demented
|
|
3Very_Mild_Demented
|
|
2Non_Demented
|
|
0Mild_Demented
|
|
2Non_Demented
|
|
2Non_Demented
|
|
2Non_Demented
|
|
2Non_Demented
|
|
3Very_Mild_Demented
|
|
0Mild_Demented
|
|
2Non_Demented
|
|
2Non_Demented
|
|
2Non_Demented
|
|
0Mild_Demented
|
|
2Non_Demented
|
|
2Non_Demented
|
|
3Very_Mild_Demented
|
|
2Non_Demented
|
|
3Very_Mild_Demented
|
|
2Non_Demented
|
|
2Non_Demented
|
|
2Non_Demented
|
|
2Non_Demented
|
|
2Non_Demented
|
|
2Non_Demented
|
|
2Non_Demented
|
|
2Non_Demented
|
|
2Non_Demented
|
|
3Very_Mild_Demented
|
|
2Non_Demented
|
|
3Very_Mild_Demented
|
|
3Very_Mild_Demented
|
|
2Non_Demented
|
|
3Very_Mild_Demented
|
|
3Very_Mild_Demented
|
|
2Non_Demented
|
|
2Non_Demented
|
|
3Very_Mild_Demented
|
|
3Very_Mild_Demented
|
|
3Very_Mild_Demented
|
|
2Non_Demented
|
|
3Very_Mild_Demented
|
|
2Non_Demented
|
|
2Non_Demented
|
|
2Non_Demented
|
|
3Very_Mild_Demented
|
|
0Mild_Demented
|
|
3Very_Mild_Demented
|
|
0Mild_Demented
|
|
3Very_Mild_Demented
|
|
3Very_Mild_Demented
|
|
2Non_Demented
|
|
0Mild_Demented
|
|
2Non_Demented
|
|
2Non_Demented
|
|
2Non_Demented
|
|
3Very_Mild_Demented
|
|
2Non_Demented
|
|
2Non_Demented
|
|
3Very_Mild_Demented
|
|
2Non_Demented
|
|
3Very_Mild_Demented
|
|
2Non_Demented
|
|
2Non_Demented
|
|
0Mild_Demented
|
|
2Non_Demented
|
|
3Very_Mild_Demented
|
|
3Very_Mild_Demented
|
|
3Very_Mild_Demented
|
|
0Mild_Demented
|
|
3Very_Mild_Demented
|
|
2Non_Demented
|
|
2Non_Demented
|
|
0Mild_Demented
|
|
2Non_Demented
|
|
2Non_Demented
|
|
2Non_Demented
|
|
2Non_Demented
|
|
0Mild_Demented
|
The Falah/Alzheimer_MRI Disease Classification dataset is a valuable resource for researchers and health medicine applications. This dataset focuses on the classification of Alzheimer's disease based on MRI scans. The dataset consists of brain MRI images labeled into four categories:
Train split:
Test split:
Download size: 28,289,848 bytes
Dataset size: 28,198,238.28 bytes
If you use this dataset in your research or health medicine applications, we kindly request that you cite the following publication:
@dataset{alzheimer_mri_dataset,
author = {Falah.G.Salieh},
title = {Alzheimer MRI Dataset},
year = {2023},
publisher = {Hugging Face},
version = {1.0},
url = {https://huggingface.co/datasets/Falah/Alzheimer_MRI}
}
Here's an example of how to load the dataset using the Hugging Face library:
from datasets import load_dataset
# Load the Falah/Alzheimer_MRI dataset
dataset = load_dataset('Falah/Alzheimer_MRI', split='train')
# Print the number of examples and the first few samples
print("Number of examples:", len(dataset))
print("Sample data:")
for example in dataset[:5]:
print(example)