221 - Easy way to split data on your disk into train, test, and validation?

Code generated in the video can be downloaded from here:
github.com/bnsreenu/python_fo...
pip install split-folders
import splitfolders # or import split_folders
input_folder = 'cell_images/'
Split with a ratio.
To only split into training and validation set, set a tuple to `ratio`, i.e, `(.8, .2)`.
#Train, val, test
splitfolders.ratio(input_folder, output="cell_images2",
seed=42, ratio=(.7, .2, .1),
group_prefix=None) # default values
Split val/test with a fixed number of items e.g. 100 for each set.
To only split into training and validation set, use a single number to `fixed`, i.e., `10`.
enable oversampling of imbalanced datasets, works only with fixed
splitfolders.fixed(input_folder, output="cell_images2",
seed=42, fixed=(35, 20),
oversample=False, group_prefix=None)

[@faaalsh8784]

Since I started dealing with machine learning with images, you are my teacher. Thank you for the awesome tutorials you are doing. Have you posted a video about splitting data for semantic segmentation?

[@SabbirAhmed-nc5hh]

good demo, was looking for something like this. was facing bugs in splitfolders, but didn't found intuitive solve like this elsewhere. Thanks !

[@saratesfamariam1176]

Thank you for all the tutorials!

[@rameshwarsingh5859]

Excellent Post for Sreeni sir..👌 helps me to distribute data sets easily,,thank U

[@jacobusstrydom7017]

O man this could have saved me so mush time. Thanks!!

[@kev-dm5388]

thank you so much, you save my life for my college mid exam

[@kibetwalter8528]

This guy is a Lifesaver. Always. Thank you.

[@DigitalSreeni]

You are welcome!

[@osiris583]

You made may day bro! Ty so much

[@DigitalSreeni]

Glad I could help!

[@Darkev77]

This was really helpful!

[@supriyasumanidrpshc0048]

It was really very helpful, thanks for sharing it.

[@DigitalSreeni]

You're very welcome!

[@paulntalo1425]

Thank you for sharing. Please make another video showing how to split a large dataset of images with metadata in the train CSV file. And how to sort the train image folder into subfolders for each label category. Thank you

[@lando2519]

thank you for the help, you are much appreciated!

[@tanghsien]

Fantastic! This is really helpful!

[@DigitalSreeni]

Glad you think so!

[@vitzrd2076]

Your video made my day bruhh, Thank You very much dude!

[@DigitalSreeni]

Glad I could help

[@mihretdesta9153]

You are such a fantastic man!! but I have one question for you, I can't understand imbalanced datasets for multi-class image classification with code and before or after splitting the data into train val and testing for oversample?

[@wadhaalmattar2343]

Thanks a lot, this is very helpful

[@surflaweb]

This is very useful. Thanks bro

[@DigitalSreeni]

You are welcome

[@zakirshah7895]

Teacher, can you make a video regarding image cropping. For example, we have many images in a folder in which the area of focus is in different locations, so how to remove the unwanted black background.

[@moussarais9052]

Thank you very much.. I have a question: I have according to each jpg a json file (their labels).. how can I also split these to the right folder? Thank you

[@thanveerahamed660]

This was really helpful thank you for doing this vedio

[@DigitalSreeni]

Glad it was helpful!

[@limzisin26]

Good day Sir, I have an urgent question. After I splitting the dataset into train, val and test, how I can write them in the model.fit() function, because I saw the model.fit() function from others, they have x_train, y_train and so on...Thanks..

[@kibetwalter8528]

you answer all my questions

[@shivamwalia5634]

Hi sreeni ,How to do Instance segmentation using Mask R-CNN for malaria cell segmentation.

[@random-yu5hv]

Thank you for sharings. Can you upload object detection in medical images?

[@user-nv2xy8dx5b]

sir, I downloaded a dataset from kaggle(flower recognition) and tried to work this way, but the following message (found 0 image belonging to 5 classes) shows that it is reading the folders but not reading the image knowing that it is inside the folder

[@shankarmahadevan7146]

Hi sir! I'm using the Apeer platform for annotating my images, but I'm unable to export all my annotations at once... How can I do it, Sir? I couldn't find any resources on that...

[@SemSemOnTop]

Thank you very much

[@questless3033]

how do you divide timeseries image data set like I have 800 images of plant from week 0 to week 12. How do I divide them to test, train and val ?

[@paulntalo1425]

Thank for sharing

[@ajaysaikiranpenumareddy9809]

Thank you sir

[@sajansudhir1859]

Thanks for the video.Do we have any similar quick strategy to split CoCo Dataset ?

[@DigitalSreeni]

I am not aware of any ready to use libraries for that task.

[@reemawangkheirakpam8165]

sir, can you please make a video on instance segmentation using python

[@user-ww2yf2ob1d]

Thanks boss

[@dianasoaresmagalhaes6901]

You're amazing! can you make a video on instance segmentation using python?

[@nitishsingla9057]

How the seed is defined whether to take 42 or 1337 ?

[@leonguyen7139]

It could be any number. It just to make sure you have the same result eveytime you split.

[@unamattina6023]

can I splitfolders but only the jpg files? because in my dataset I have jpg and png files but I only want to split jpg files, how I can do this?

[@frieda1669]

after run, no new folders were created. but theres no signs for errors

[@yeening9844]

not sure why I get (SyntaxError: positional argument follows keyword argument) at ratio(.7,.2,.1) part

[@DigitalSreeni]

Change the following and see if that works.... From: splitfolders.ratio(input_folder, output="cell_images2", seed=42, ratio=(.7, .2, .1), group_prefix=None) To splitfolders.ratio(input_folder, "cell_images2", 42, (.7, .2, .1), None)

[@burakemregundes7172]

I split my dataset, but the image in the test folder is also in the validation folder, is this true?

[@user-od8fy7zq7g]

thx you

[@shristykashyap2983]

what is the meaning of seed? And why did you take 42 as the value

[@matancadeporco]

ty

[@alicjaeckstein1628]

Amazing! But my output folders are empty, when I use the code split folder. Do you have an idea why?

[@ritujangra00]

same here....

[@ritujangra00]

can somebody tell the reason

[@vitzrd2076]

if you are doing in jupyter then enter the full of that folder

[@kurniawankhaikal3433]

i have problem with 80,19,1 ratio, can you solve that?

[@sudhishsubramaniam4951]

Good

[@kasrakakaee3441]

god bless your soul

[@DigitalSreeni]

Thanks :)

[@pravinpawar2206]

#if you are getting errors used this import splitfolders input_folder = '/content/drive/MyDrive/dataset/Garbage dataset' splitfolders.ratio(input_folder,output='/content/drive/MyDrive/dataset/split_garbage_dataset', seed=1337, ratio=(.7, .15, .15), group_prefix=None) # default values)

[@johnmoisespaunlagui5026]

what does the seed=42 do??

[@DigitalSreeni]

Random is not so random - understanding random in python kzbin.info/www/bejne/l6uphHp-fMqUrck

[@muhannedmtd22]

How to split to train , val , test in fixed number

[@angelgabrielortiz-rodrigue2937]

This video is awesome. However, I couln't understand the "seed" parameter. Could you elaborate?

[@DigitalSreeni]

'Seed' is used to pick images at 'random'. Without a seed your images are selected at random all the time. This is not good if you want your experiments to be reproducible. In our example, fixing the seed to a number gives you same split in your images all the time. Changing the seed changes the images that gets picked.

[@ertanman]

Thank you very much sir

[@DigitalSreeni]

Most welcome

[@kalluriramakrishna5732]

Thank you sir

[@DigitalSreeni]

Welcome