diff --git a/supervision/metrics/mean_average_precision.py b/supervision/metrics/mean_average_precision.py
index ed556719..dbd60b2e 100644
--- a/supervision/metrics/mean_average_precision.py
+++ b/supervision/metrics/mean_average_precision.py
@@ -395,7 +395,8 @@ class MeanAveragePrecisionResult:
     Attributes:
         metric_target (MetricTarget): the type of data used for the metric -
             boxes, masks or oriented bounding boxes.
-        class_agnostic: When computing class-agnostic results, class ID is set to `-1`.
+        class_agnostic (bool): When computing class-agnostic results, class ID
+            is set to `-1`.
         mAP_map50_95 (float): the mAP score at IoU thresholds from `0.5` to `0.95`.
         mAP_map50 (float): the mAP score at IoU threshold of `0.5`.
         mAP_map75 (float): the mAP score at IoU threshold of `0.75`.