Comments (3)
Here's the python code shared by someone on Kaggle that transforms the raw .mat
files into numpy arrays of brain tumor MRI images: https://www.kaggle.com/code/tasni18/brain-tumor-classification
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Hello @BirkhoffLee and thank you for raising this issue!
Are you planning to add this dataset to TFDS yourself? If yes, you can follow this guide to adding a dataset.
As an example, you can refer to this recent commit that introduced the Databricks Dolly dataset.
from datasets.
Hello @BirkhoffLee and thank you for raising this issue!
Are you planning to add this dataset to TFDS yourself? If yes, you can follow this guide to adding a dataset.
As an example, you can refer to this recent commit that introduced the Databricks Dolly dataset.
I'd love to, but I have a few questions:
- Removal of some data. I currently use the dataset on an image classification research project. The original dataset was published with MATLAB format. I have extracted the images as .PNG files (i.e.: removing some data in the orig dataset). Can I keep it as-is in the TFDS repo? To be more specific, only retaining
cjdata.label
andcjdata.image
. - Training split. The original dataset does not split the data for training and testing. How am I supposed to handle it in this repo?
- Hosting. Does the TFDS / Tensorflow project offer any place to store the dataset files? I do not see other datasets hosted here.
I have another dataset that I wish to be added into this repo: https://www.kaggle.com/datasets/sartajbhuvaji/brain-tumor-classification-mri. If I can have guidelines clarified then I'd be able to add it as well.
I'm new to the sector and apologies for any naive questions that I may have above, however I do wish to contribute to this repo because it makes research a lot easier. Much thanks :-)
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