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BIMCV-CSUSP / BIMCV-COVID-19

Valencia Region Image Bank (BIMCV) that combines data from the PadChest dataset with future datasets based on COVID-19 pathology to provide the open scientific community with data of clinical-scientific value that helps early detection of COVID-19
MIT License
124 stars 34 forks source link

Downscaled version of data set #2

Closed RParedesPalacios closed 4 years ago

RParedesPalacios commented 4 years ago

The dataset is too big I think that is an expensive ticket to start with this project.

Taking a look to the code you propose an image working size of:

y, x, in_channel = 724, 200, 1

that perhaps is not enough but I agree that it is ok for starting.

Therefore, could you please provide a just reduced version of the images??

A fast calc:: 30 K images x 724 x 200 x 1 = 4GB approx in 8 bits precision or 32 for float32.

In any case significantly lower than the 160G of zip file.

maigva commented 4 years ago

Thanks for great suggestion. Please review updates https://github.com/BIMCV-CSUSP/BIMCV-COVID-19/blob/master/padchest-covid/README.md Maria

jaideep11061982 commented 3 years ago

@maigva where are the labels for the files. and are they bbx annotations or classification labels