How can generative AI models help in augmenting training data for detection tasks in computer vision

Question

Can i know How can generative AI models help in augmenting training data for detection tasks in computer vision?

Answer 1

Generative AI models can synthesize realistic, labeled images to augment datasets for improving object detection model performance.

Here is the code snippet you can refer to:

In the above code, we are using the following key points:

• Boosts model performance on low-sample or rare classes.

• Helps simulate edge cases or difficult viewpoints.

• Reduces cost of manual labeling and data collection.

• Compatible with object detection pipelines like YOLO, Detectron2.

By generating synthetic labeled images, generative AI expands and diversifies training datasets, hence enhancing the accuracy and generalization of vision-based detection models.