diff --git a/.github/lychee.toml b/.github/lychee.toml
index 6efd5df8..024de3ab 100644
--- a/.github/lychee.toml
+++ b/.github/lychee.toml
@@ -4,6 +4,10 @@ include_verbatim = true
 retry_wait_time = 3
 max_concurrency = 10
 cache = false
+accept = [
+    200, # OK
+    408, # Request Timeout
+]
 
 exclude = [
     "https://github.com/YOUR_USERNAME/supervision.git",  # hint for forking contributors
diff --git a/docs/how_to/count_in_zone.md b/docs/how_to/count_in_zone.md
index e0609070..01ddfab1 100644
--- a/docs/how_to/count_in_zone.md
+++ b/docs/how_to/count_in_zone.md
@@ -21,7 +21,7 @@ import cv2
 
 from ultralytics import YOLO
 
-model = YOLO('yolov8s.pt')
+model = YOLO("yolov8s.pt")
 
 VIDEO = str(VideoAssets.VEHICLES_2)
 
@@ -56,12 +56,8 @@ Save the coordinates in an array:
 
 ```python
 polygons = [
-  np.array([
-    [718, 595],[927, 592],[851, 1062],[42, 1059]
-  ]),
-  np.array([
-    [987, 595],[1199, 595],[1893, 1056],[1015, 1062]
-  ])
+    np.array([[718, 595], [927, 592], [851, 1062], [42, 1059]]),
+    np.array([[987, 595], [1199, 595], [1893, 1056], [1015, 1062]]),
 ]
 ```
 
@@ -71,12 +67,8 @@ With the coordinates of the zones to draw ready, we can set up our zones:
 
 ```python
 zones = [
-    sv.PolygonZone(
-        polygon=polygon,
-        frame_resolution_wh=video_info.resolution_wh
-    )
-    for polygon
-    in polygons
+    sv.PolygonZone(polygon=polygon, frame_resolution_wh=video_info.resolution_wh)
+    for polygon in polygons
 ]
 zone_annotators = [
     sv.PolygonZoneAnnotator(
@@ -84,10 +76,9 @@ zone_annotators = [
         color=colors.by_idx(index),
         thickness=4,
         text_thickness=8,
-        text_scale=4
+        text_scale=4,
     )
-    for index, zone
-    in enumerate(zones)
+    for index, zone in enumerate(zones)
 ]
 box_annotators = [
     sv.BoxAnnotator(
@@ -95,9 +86,8 @@ box_annotators = [
         thickness=4,
         text_thickness=4,
         text_scale=2,
-        )
-    for index
-    in range(len(polygons))
+    )
+    for index in range(len(polygons))
 ]
 ```
 
@@ -112,14 +102,19 @@ def process_frame(frame: np.ndarray, i) -> np.ndarray:
     results = model(frame, imgsz=1280, verbose=False)[0]
     detections = sv.Detections.from_ultralytics(results)
 
-    for zone, zone_annotator, box_annotator in zip(zones, zone_annotators, box_annotators):
+    for zone, zone_annotator, box_annotator in zip(
+        zones, zone_annotators, box_annotators
+    ):
         mask = zone.trigger(detections=detections)
         detections_filtered = detections[mask]
-        frame = box_annotator.annotate(scene=frame, detections=detections_filtered, skip_label=True)
+        frame = box_annotator.annotate(
+            scene=frame, detections=detections_filtered, skip_label=True
+        )
         frame = zone_annotator.annotate(scene=frame)
 
     return frame
 
+
 sv.process_video(source_path=VIDEO, target_path="result.mp4", callback=process_frame)
 ```