Geometric transformation of images | OpenCV | Computer Vision playlist

Training the deep learning model requires a vast amount of data. And in almost all of the cases, models perform better as training data increases. One way to artificially generate more data is to randomly apply some transformation to the input data. A technique is also known as image augmentation or data augmentation.
In this video, I explained some basic transformation techniques like scaling, rotation, translation, affine transformation, perspective transformation.

★ link to the google colab notebook -

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⭐️ ABOUT ME ⭐️

I am Yashvi Patel, Software Developer with Data science skills and Kaggle Notebook Master. I created this channel to share my knowledge and experience with you all. This channel will include practical tutorials solving problems from Kaggle datasets and competitions. I will upload videos related to Data Science, Machine learning, Deep learning, Natural Language Processing, and Computer vision.