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DL_model_happy_vs_sad_picture_classification

"Data" folder is created in the working directory. It includes two folders: "Happy" and "Sad" Each folder contain images of happy/sad people from google search in format of jpg and png. Jupyter notebook contains the steps of uploading data, processing it, creating a DL model which can classify pictures as happy or sad.

How to download images from google search?

  1. Install "Download all images" extension to your browser
  2. Search "Happy people" in Google
  3. Click Extension- Download all images-
  4. It will save all images in your search in zip folder.
  5. Unzip the folder (you need to clear the folder before using it in the model)

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