diff --git a/detect.py b/detect.py
index e9a5b91..7f890c4 100644
--- a/detect.py
+++ b/detect.py
@@ -204,7 +204,7 @@ def detect(save_img=False):
     print(opt)
 
     #check_requirements(exclude=('pycocotools', 'thop'))
-    if opt.download and not os.path.exists(str(opt.weights)):
+    if opt.download and not os.path.exists("".join(opt.weights)):
         print('Model weights not found. Attempting to download now...')
         download('./')
 
diff --git a/detect_and_track.py b/detect_and_track.py
index 620fb19..4d696bd 100644
--- a/detect_and_track.py
+++ b/detect_and_track.py
@@ -25,7 +25,7 @@
 
 #............................... Bounding Boxes Drawing ............................
 """Function to Draw Bounding boxes"""
-def draw_boxes(img, bbox, identities=None, categories=None, names=None, save_with_object_id=False, path=None,offset=(0, 0)):
+def draw_boxes(img, bbox, identities=None, categories=None, names=None, save_with_object_id=False, path=None, offset=(0, 0), is_label=True):
     for i, box in enumerate(bbox):
         x1, y1, x2, y2 = [int(i) for i in box]
         x1 += offset[0]
@@ -35,12 +35,14 @@ def draw_boxes(img, bbox, identities=None, categories=None, names=None, save_wit
         cat = int(categories[i]) if categories is not None else 0
         id = int(identities[i]) if identities is not None else 0
         data = (int((box[0]+box[2])/2),(int((box[1]+box[3])/2)))
-        label = str(id) + ":"+ names[cat]
-        (w, h), _ = cv2.getTextSize(label, cv2.FONT_HERSHEY_SIMPLEX, 0.6, 1)
-        cv2.rectangle(img, (x1, y1), (x2, y2), (255,0,20), 2)
-        cv2.rectangle(img, (x1, y1 - 20), (x1 + w, y1), (255,144,30), -1)
-        cv2.putText(img, label, (x1, y1 - 5),cv2.FONT_HERSHEY_SIMPLEX, 
-                    0.6, [255, 255, 255], 1)
+        color = [random.randint(0, 255) for _ in range(3)]
+        if is_label:
+            label = str(id) + ":"+ names[cat]
+            (w, h), _ = cv2.getTextSize(label, cv2.FONT_HERSHEY_SIMPLEX, 0.6, 1)
+            cv2.rectangle(img, (x1, y1 - 20), (x1 + w, y1), color, -1)
+            cv2.putText(img, label, (x1, y1 - 5),cv2.FONT_HERSHEY_SIMPLEX, 
+                        0.6, [255, 255, 255], 1)
+        cv2.rectangle(img, (x1, y1), (x2, y2), color, 2)
         # cv2.circle(img, data, 6, color,-1)   #centroid of box
         txt_str = ""
         if save_with_object_id:
@@ -234,7 +236,7 @@ def detect(save_img=False):
                     bbox_xyxy = tracked_dets[:,:4]
                     identities = tracked_dets[:, 8]
                     categories = tracked_dets[:, 4]
-                    draw_boxes(im0, bbox_xyxy, identities, categories, names, save_with_object_id, txt_path)
+                    draw_boxes(im0, bbox_xyxy, identities, categories, names, save_with_object_id, txt_path, is_label=True)
             else: #SORT should be updated even with no detections
                 tracked_dets = sort_tracker.update()
             #........................................................