initial Detections.__iter__ implementation

supervision/detection/core.py

@@ -71,11 +71,12 @@ class Detections:
             Optional[float],
             Optional[int],
             Optional[int],
+            Dict[str, Union[np.ndarray, List]],
         ]
     ]:
         """
         Iterates over the Detections object and yield a tuple of
-        `(xyxy, mask, confidence, class_id, tracker_id)` for each detection.
+        `(xyxy, mask, confidence, class_id, tracker_id, data)` for each detection.
         """
         for i in range(len(self.xyxy)):
             yield (
@@ -84,6 +85,7 @@ class Detections:
                 self.confidence[i] if self.confidence is not None else None,
                 self.class_id[i] if self.class_id is not None else None,
                 self.tracker_id[i] if self.tracker_id is not None else None,
+                get_data_item(self.data, i),
             )
 
     def __eq__(self, other: Detections):