object detection

We consider the object detection AI problem to encompass training models to infer bounding boxes, labels (from a predefined label set), and scores for objects in an image.

components

protocols.object_detection.Augmentation(...)	An augmentation protocol for the object detection AI problem.
protocols.object_detection.ObjectDetectionTarget(...)	An object-detection target protocol.
protocols.object_detection.DataLoader(*args, ...)	A dataloader protocol for the object detection AI problem providing batch-level data access.
protocols.object_detection.Dataset(*args, ...)	A dataset protocol for object detection AI problem providing datum-level data access.
protocols.object_detection.FieldwiseDataset(...)	A specialization of Dataset protocol (i.e., a subprotocol) that specifies additional accessor methods for getting input, target, and metadata individually.
protocols.object_detection.Metric(*args, ...)	A metric protocol for the object detection AI problem.
protocols.object_detection.Model(*args, **kwargs)	A model protocol for the object detection AI problem.