The assignment is hosted on Kaggle and final submission on is to be done on kaggle. Please create a ipynb file which i can execute on kaggle and then submit it from kaggle itself.
Overview :- This is a micro-facial emotion recognition task based on micro facial expressions dataset. Predict one of 5 emotions which are defined here:1 -> Happiness2 -> Other3 -> Anger4 -> Contempt5 -> Surprise(Strictly follow the above encoding for your output.)
Submission should be as per the format given. Any other format would lead to an invalid solution and won't be evaluated. The final solution should have 2 columns: 'Id' and 'Class'.Data:-
The dataset contains folder train_data which contains micro facial expression images for each of the 5 emotions and folder test_data which contains images for the test set.The test.csv file contains the filenames of the test files.
You are requested to perform any data preprocessing tasks in case of discrepancies in the data.
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