text: Title: Connect Oriented Bounding Box to Metrics
  Body: # Connect Oriented Bounding Box to Metrics
  
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  ---
  
  Several new features were recently added to supervision:
  * Mean Average Precision (mAP)
  * F1 Score
  * IoU calculation for Oriented Bounding Boxes
  
  Intersection Over Union (IoU) is the starting point when computing these metrics. It determines which detections are considered true positives. However, [take a look](https://github.com/roboflow/supervision/blob/d6aa72c0f2b158b838145a81ed5995db6a1e9015/supervision/metrics/mean_average_precision.py#L176)! The Oriented Box IoU is not supported yet! Help us add support by using `oriented_box_iou_batch`.
  
  Helpful links:
  * [Contribution guide](https://supervision.roboflow.com/develop/contributing/#how-to-contribute-changes)
  * Metrics:
    * mAP metric: [docs](https://supervision.roboflow.com/develop/metrics/mean_average_precision/), [code](https://github.com/roboflow/supervision/blob/d6aa72c0f2b158b838145a81ed5995db6a1e9015/supervision/metrics/mean_average_precision.py#L25)
    * F1 Score: [docs](https://supervision.roboflow.com/develop/metrics/f1_score/), [code](https://github.com/roboflow/supervision/blob/d6aa72c0f2b158b838145a81ed5995db6a1e9015/supervision/metrics/f1_score.py#L25)
  * Oriented box IoU calculation function: [docs](https://supervision.roboflow.com/develop/detection/utils/#supervision.detection.utils.oriented_box_iou_batch), [code](https://github.com/roboflow/supervision/blob/d6aa72c0f2b158b838145a81ed5995db6a1e9015/supervision/detection/utils.py#L143)
  * [Supervision Cheatsheet](https://roboflow.github.io/cheatsheet-supervision/)
  * [Colab Starter Template](https://colab.research.google.com/drive/1rin7WrS-UvVIe-_Gfxmu-yVslGphOq89#scrollTo=pjmCrNre2g58)
  * [Prior metrics test Colab](https://colab.research.google.com/drive/1qSMDDpImc9arTgQv-qvxlTA87KRRegYN)