subbu6699/supervision

Supervision is a model-agnostic Python computer-vision toolkit: users supply model outputs or datasets, normalize predictions into shared structures, then analyze, visualize, and evaluate them. The README documents model connectors, annotation, and dataset load/split/merge/save workflows; the tree adds zones, inference slicing, keypoints, and metrics. Sampled source confirms the shared detection representation, slicing callback, annotators, dataset core, and evaluation metrics. Other links reflect documented capabilities; unsampled implementation wiring is not inferred.