diff --git a/supervision/tracker/byte_tracker/basetrack.py b/supervision/tracker/byte_tracker/basetrack.py
index c8fadefa4..806f75384 100644
--- a/supervision/tracker/byte_tracker/basetrack.py
+++ b/supervision/tracker/byte_tracker/basetrack.py
@@ -39,6 +39,14 @@ def next_id() -> int:
         BaseTrack._count += 1
         return BaseTrack._count
 
+    @staticmethod
+    def reset_counter():
+        BaseTrack._count = 0
+        BaseTrack.track_id = 0
+        BaseTrack.start_frame = 0
+        BaseTrack.frame_id = 0
+        BaseTrack.time_since_update = 0
+
     def activate(self, *args):
         raise NotImplementedError
 
diff --git a/supervision/tracker/byte_tracker/core.py b/supervision/tracker/byte_tracker/core.py
index ffe1b1b5f..801c58f7e 100644
--- a/supervision/tracker/byte_tracker/core.py
+++ b/supervision/tracker/byte_tracker/core.py
@@ -210,7 +210,6 @@ def update_with_detections(self, detections: Detections) -> Detections:
             ```python
             import supervision as sv
             from ultralytics import YOLO
-            import numpy as np
 
             model = YOLO(<MODEL_PATH>)
             tracker = sv.ByteTrack()
@@ -261,6 +260,21 @@ def callback(frame: np.ndarray, index: int) -> np.ndarray:
 
         return detections
 
+    def reset(self):
+        """
+        Resets the internal state of the ByteTrack tracker.
+
+        This method clears the tracking data, including tracked, lost,
+        and removed tracks, as well as resetting the frame counter. It's
+        particularly useful when processing multiple videos sequentially,
+        ensuring the tracker starts with a clean state for each new video.
+        """
+        self.frame_id = 0
+        self.tracked_tracks: List[STrack] = []
+        self.lost_tracks: List[STrack] = []
+        self.removed_tracks: List[STrack] = []
+        BaseTrack.reset_counter()
+
     def update_with_tensors(self, tensors: np.ndarray) -> List[STrack]:
         """
         Updates the tracker with the provided tensors and returns the updated tracks.
@@ -306,6 +320,7 @@ def update_with_tensors(self, tensors: np.ndarray) -> List[STrack]:
         """ Add newly detected tracklets to tracked_stracks"""
         unconfirmed = []
         tracked_stracks = []  # type: list[STrack]
+
         for track in self.tracked_tracks:
             if not track.is_activated:
                 unconfirmed.append(track)