Labeling Image Data Using Rules
In this chapter, we will explore data labeling techniques tailored specifically for image classification, using Python. Our primary objective is to clarify the path you need to take to generate precise labels for these images in the dataset, relying on meticulously crafted rules founded upon various image properties. You will be empowered with the ability to dissect and decode images through manual inspection, harnessing the formidable Python ecosystem.
In this chapter, you will learn the following:
- How to create labeling rules based on manual inspection of image visualizations in Python
- How to create labeling rules based on the size and aspect ratio of images
- How to apply transfer learning to label image data, using pre-trained models such as YOLO V3
The overarching goal is to empower you with the ability to generate precise and reliable labels for your data. We aim to equip you with a versatile set of labeling strategies that...
