Evaluation metrics - Object detection

Is your feature request related to a problem? Please describe.
Need for the following metrics when dealing with object detection problems

Intersection over Union (IoU) measurements can either be made at the level of the bounding boxes of the objects or of the segmentation themselves.

At the element level

• Dice per element
• Centroid distance

At the level of the image considering independent elements:

• F1 score with IoU thresholds ranging from 0.5 to 0.95
• Average precision with IoU thresholds ranging from 0.5 to 0.95 https://cocodataset.org/#detection-eval
• Average recall with IoU thresholds ranging from 0.5 to 0.95 https://cocodataset.org/#detection-eval
• Correlation of detected volumes
• Number difference
• F1 with minimum overlap of 1 voxel
• Outline error https://link.springer.com/article/10.1186/1471-2342-12-17
• Detection error https://link.springer.com/article/10.1186/1471-2342-12-17

Additional context
This list of metrics is the output of the initial brainstorming of the metrics task force

No files, tests, or entry points are named. Start by reviewing the COCO detection-evaluation link and the linked outline and detection-error papers, then clarify which metrics and IoU thresholds are in scope; done requires an agreed scope and implementation plan for the requested object-detection evaluations.