Increasing the amount and diversity of data using scikit-image in Python

Deep learning techniques have found great success in computer vision tasks, namely image recognition, image segmentation, object detection, etc. Such deep learning techniques are heavily dependent on big data to avoid overfitting. So what do you do when you have limited data? You go for data augmentation. Data Augmentation techniques enhance training datasets’ size and quality such that better Deep Learning models can be built using them. In this article, we shall look at some of the standard image augmentation techniques and some popular libraries that help achieve these augmentations.[Read More]

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s