If you have ever worked on a Computer Vision project, you might know that using augmentations to diversify the dataset is the best practice. On this page, we will:
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To define the term, Random Crop is a data augmentation technique that helps researchers to crop the images into a particular dimension, creating synthetic data. The cropping could result in any patch of the image and is therefore called "Random Crop."
Hello, thank you for using the code provided by Hasty. Please note that some code blocks might not be 100% complete and ready to be run as is. This is done intentionally as we focus on implementing only the most challenging parts that might be tough to pick up from scratch. View our code block as a LEGO block - you can’t use it as a standalone solution, but you can take it and add to your system to complement it. If you have questions about using the tool, please get in touch with us to get direct help from the Hasty team.
import albumentations as albu
from PIL import Image
transform = albu.RandomCrop(200,200)
augmented_image = transform(image=figure)['image']
# We have our required cropped image in augmented_image.
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