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.