# How to annotate images for machine learning?

Source: https://zilliz.com/ai-faq/how-to-annotate-images-for-machine-learning
Author: zilliz

Annotating images for machine learning involves marking relevant data points to create labeled datasets. Choose an annotation type based on your task: classification (assigning labels), object detection (bounding boxes), or segmentation (pixel-level masks). 

 Tools like LabelImg, VoTT, or CVAT simplify the annotation process. Upload images, define classes, and draw annotations interactively. For example, for a pedestrian detection model, draw bounding boxes around pedestrians and assign a “pedestrian” label. 

 Ensure consistency in annotation by defining clear guidelines. Regularly validate annotations to minimize errors and bias, which are crucial for achieving high model accuracy.