diff --git a/supervision/metrics/f1_score.py b/supervision/metrics/f1_score.py
index bd89e1297..98cb5f265 100644
--- a/supervision/metrics/f1_score.py
+++ b/supervision/metrics/f1_score.py
@@ -476,11 +476,11 @@ class F1ScoreResult:
         matched_classes (np.ndarray): the class IDs of all matched classes.
             Corresponds to the rows of `f1_per_class`.
         small_objects (Optional[F1ScoreResult]): the F1 metric results
-            for small objects.
+            for small objects (area < 32²).
         medium_objects (Optional[F1ScoreResult]): the F1 metric results
-            for medium objects.
+            for medium objects (32² ≤ area < 96²).
         large_objects (Optional[F1ScoreResult]): the F1 metric results
-            for large objects.
+            for large objects (area ≥ 96²).
     """
 
     metric_target: MetricTarget
diff --git a/supervision/metrics/mean_average_precision.py b/supervision/metrics/mean_average_precision.py
index ac12767a7..9e7a30d0e 100644
--- a/supervision/metrics/mean_average_precision.py
+++ b/supervision/metrics/mean_average_precision.py
@@ -440,11 +440,11 @@ class and IoU threshold. Shape: `(num_target_classes, num_iou_thresholds)`
         matched_classes (np.ndarray): the class IDs of all matched classes.
             Corresponds to the rows of `ap_per_class`.
         small_objects (Optional[MeanAveragePrecisionResult]): the mAP results
-            for small objects.
+            for small objects (area < 32²).
         medium_objects (Optional[MeanAveragePrecisionResult]): the mAP results
-            for medium objects.
+            for medium objects (32² ≤ area < 96²).
         large_objects (Optional[MeanAveragePrecisionResult]): the mAP results
-            for large objects.
+            for large objects (area ≥ 96²).
     """
 
     metric_target: MetricTarget
diff --git a/supervision/metrics/precision.py b/supervision/metrics/precision.py
index 235110862..a5d4011e8 100644
--- a/supervision/metrics/precision.py
+++ b/supervision/metrics/precision.py
@@ -479,11 +479,11 @@ class PrecisionResult:
         matched_classes (np.ndarray): the class IDs of all matched classes.
             Corresponds to the rows of `precision_per_class`.
         small_objects (Optional[PrecisionResult]): the Precision metric results
-            for small objects.
+            for small objects (area < 32²).
         medium_objects (Optional[PrecisionResult]): the Precision metric results
-            for medium objects.
+            for medium objects (32² ≤ area < 96²).
         large_objects (Optional[PrecisionResult]): the Precision metric results
-            for large objects.
+            for large objects (area ≥ 96²).
     """
 
     metric_target: MetricTarget
diff --git a/supervision/metrics/recall.py b/supervision/metrics/recall.py
index 45382da11..b3586ff7d 100644
--- a/supervision/metrics/recall.py
+++ b/supervision/metrics/recall.py
@@ -478,11 +478,11 @@ class RecallResult:
         matched_classes (np.ndarray): the class IDs of all matched classes.
             Corresponds to the rows of `recall_per_class`.
         small_objects (Optional[RecallResult]): the Recall metric results
-            for small objects.
+            for small objects (area < 32²).
         medium_objects (Optional[RecallResult]): the Recall metric results
-            for medium objects.
+            for medium objects (32² ≤ area < 96²).
         large_objects (Optional[RecallResult]): the Recall metric results
-            for large objects.
+            for large objects (area ≥ 96²).
     """
 
     metric_target: MetricTarget