diff --git a/supervision/dataset/core.py b/supervision/dataset/core.py
index bf110b57..00c590b8 100644
--- a/supervision/dataset/core.py
+++ b/supervision/dataset/core.py
@@ -182,19 +182,19 @@ class DetectionDataset(BaseDataset):
         """
         if images_directory_path:
             save_dataset_images(
-                images_directory_path=images_directory_path, images=self.images
+                images_directory_path=images_directory_path,
+                images=self.images
             )
-
         if annotations_directory_path:
-            annotations_path = Path(annotations_directory_path)
-            annotations_path.mkdir(parents=True, exist_ok=True)
+            Path(annotations_directory_path).mkdir(parents=True, exist_ok=True)
 
         for image_path, image in self.images.items():
             detections = self.annotations[image_path]
 
             if annotations_directory_path:
                 annotation_name = Path(image_path).stem
-                image_name = f"{Path(image_path).stem}{Path(image_path).suffix}"
+                annotations_path = os.path.join(annotations_directory_path, f"{annotation_name}.xml")
+                image_name = Path(image_path).name
                 pascal_voc_xml = detections_to_pascal_voc(
                     detections=detections,
                     classes=self.classes,
@@ -205,7 +205,7 @@ class DetectionDataset(BaseDataset):
                     approximation_percentage=approximation_percentage,
                 )
 
-                with open(annotations_path / f"{annotation_name}.xml", "w") as f:
+                with open(annotations_path, "w") as f:
                     f.write(pascal_voc_xml)
 
     @classmethod
@@ -356,7 +356,8 @@ class DetectionDataset(BaseDataset):
         """
         if images_directory_path is not None:
             save_dataset_images(
-                images_directory_path=images_directory_path, images=self.images
+                images_directory_path=images_directory_path,
+                images=self.images
             )
         if annotations_directory_path is not None:
             save_yolo_annotations(
@@ -453,7 +454,8 @@ class DetectionDataset(BaseDataset):
         """
         if images_directory_path is not None:
             save_dataset_images(
-                images_directory_path=images_directory_path, images=self.images
+                images_directory_path=images_directory_path,
+                images=self.images
             )
         if annotations_path is not None:
             save_coco_annotations(
@@ -614,11 +616,10 @@ class ClassificationDataset(BaseDataset):
         for class_name in self.classes:
             os.makedirs(os.path.join(root_directory_path, class_name), exist_ok=True)
 
-        for image_name in self.images:
-            classification = self.annotations[image_name]
-            image = self.images[image_name]
-            image_name = str(Path(image_name).stem)
-            image_ext = str(Path(image_name).suffix)
+        for image_path in self.images:
+            classification = self.annotations[image_path]
+            image = self.images[image_path]
+            image_name = Path(image_path).name
             class_id = (
                 classification.class_id[0]
                 if classification.confidence is None
@@ -626,7 +627,7 @@ class ClassificationDataset(BaseDataset):
             )
             class_name = self.classes[class_id]
             image_path = os.path.join(
-                root_directory_path, class_name, f"{image_name}{image_ext}"
+                root_directory_path, class_name, image_name
             )
             cv2.imwrite(image_path, image)
 
diff --git a/supervision/dataset/formats/yolo.py b/supervision/dataset/formats/yolo.py
index 2ace71f3..d93b0465 100644
--- a/supervision/dataset/formats/yolo.py
+++ b/supervision/dataset/formats/yolo.py
@@ -139,11 +139,11 @@ def load_yolo_annotations(
     annotations = {}
 
     for image_path in image_paths:
-        image_name = Path(image_path).stem
+        image_stem = Path(image_path).stem
         image_path = str(image_path)
         image = cv2.imread(image_path)
 
-        annotation_path = os.path.join(annotations_directory_path, f"{image_name}.txt")
+        annotation_path = os.path.join(annotations_directory_path, f"{image_stem}.txt")
         if not os.path.exists(annotation_path):
             images[image_path] = image
             annotations[image_path] = Detections.empty()
@@ -230,10 +230,8 @@ def save_yolo_annotations(
     Path(annotations_directory_path).mkdir(parents=True, exist_ok=True)
     for image_path, image in images.items():
         detections = annotations[image_path]
-        image_name = f"{Path(image_path).stem}{Path(image_path).suffix}"
+        image_name = Path(image_path).name
         yolo_annotations_name = _image_name_to_annotation_name(image_name=image_name)
-
-        print(yolo_annotations_name)
         yolo_annotations_path = os.path.join(
             annotations_directory_path, yolo_annotations_name
         )
diff --git a/supervision/dataset/utils.py b/supervision/dataset/utils.py
index 3ecc8d7d..05ee3201 100644
--- a/supervision/dataset/utils.py
+++ b/supervision/dataset/utils.py
@@ -98,11 +98,8 @@ def save_dataset_images(
     Path(images_directory_path).mkdir(parents=True, exist_ok=True)
 
     for image_path, image in images.items():
-        image_name = str(Path(image_path).stem)
-        image_ext = str(Path(image_path).suffix)
-        target_image_path = os.path.join(
-            images_directory_path, f"{image_name}{image_ext}"
-        )
+        image_name = Path(image_path).name
+        target_image_path = os.path.join(images_directory_path, image_name)
         cv2.imwrite(target_image_path, image)