Data Augmentation for Semantic Segmentation | Deep Learning | Semantic Segmentation смотреть онлайн

In this video, we will go through the process of applying data augmentation to any semantic segmentation dataset and increase its size.

What is Data Augmentation?
Data augmentation is the process that enables you to increase the amount of training data by making some reasonable modifications or transformations in your existing data.

CODE: https://github.com/nikhilroxtomar/Data-Augmentation-for-Semantic-Segmentation-Dataset
BLOG: https://idiotdeveloper.com/data-augmentation-for-semantic-segmentation-deep-learning/

Polyp Segmentation using U-Net in TensorFlow 2.0: https://youtu.be/SOkXeGLa2qo

Semantic Segmentation: https://www.youtube.com/playlist?list=PLHYn9gDxQOpiJOv-9XktL0SaS4Os7Yua2

Deep Learning with MNIST: https://www.youtube.com/playlist?list=PLHYn9gDxQOpgQc9gRmeUPChX536wVO3ns

Introduction to TensorFlow: https://www.youtube.com/playlist?list=PLHYn9gDxQOpisJoIMv-L2awUGBf7oH1qF

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