AI-Labeling: Annotate images for AI training

This page is about labeling images to serve custom AI-training jobs and create AI-Detectors to be used by the Analysis Engine. Regarding AI-Training, image annotation must be executed on JPG format images. Either or not part of an Orbit Mapping Resource.

2D-Objects will be suited to label individual assets and support inventory use-cases

1. First, labeling classes should be created or imported
2. Then labeling can be executed. Regarding AI-workflow, it is very important to have an exhaustive approach: each element belonging to a given class should be labeled or will be considered “Not part of the class”.

2D-Segmentations will be suited to label regions, of irregular shapes and not fitting in individual regular boxes

1. First, labeling classes should be created or imported. Then labels can be designed using dedicated toolset