diff --git a/requirements.txt b/requirements.txt
index be1fce9..fd1956e 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -32,7 +32,7 @@ seaborn>=0.11.0
 # tensorflow>=2.4.1  # TF exports (-cpu, -aarch64, -macos)
 # tflite-support
 # tensorflowjs>=3.9.0  # TF.js export
-# openvino-dev>=2022.3  # OpenVINO export
+# openvino-dev>=2023.0  # OpenVINO export
 
 # Extras --------------------------------------
 psutil  # system utilization
diff --git a/setup.py b/setup.py
index 76f6b7d..83bddf6 100644
--- a/setup.py
+++ b/setup.py
@@ -48,7 +48,7 @@ setup(
             'mkdocs-redirects',  # for 301 redirects
             'mkdocs-ultralytics-plugin>=0.0.21',  # for meta descriptions and images, dates and authors
         ],
-        'export': ['coremltools>=6.0', 'openvino-dev>=2022.3', 'tensorflowjs'],  # automatically installs tensorflow
+        'export': ['coremltools>=6.0', 'openvino-dev>=2023.0', 'tensorflowjs'],  # automatically installs tensorflow
     },
     classifiers=[
         'Development Status :: 4 - Beta',
diff --git a/ultralytics/nn/autobackend.py b/ultralytics/nn/autobackend.py
index 7e713dd..04e8dca 100644
--- a/ultralytics/nn/autobackend.py
+++ b/ultralytics/nn/autobackend.py
@@ -135,7 +135,7 @@ class AutoBackend(nn.Module):
             metadata = session.get_modelmeta().custom_metadata_map  # metadata
         elif xml:  # OpenVINO
             LOGGER.info(f'Loading {w} for OpenVINO inference...')
-            check_requirements('openvino')  # requires openvino-dev: https://pypi.org/project/openvino-dev/
+            check_requirements('openvino>=2023.0')  # requires openvino-dev: https://pypi.org/project/openvino-dev/
             from openvino.runtime import Core, Layout, get_batch  # noqa
             core = Core()
             w = Path(w)
@@ -339,7 +339,7 @@ class AutoBackend(nn.Module):
             y = self.session.run(self.output_names, {self.session.get_inputs()[0].name: im})
         elif self.xml:  # OpenVINO
             im = im.cpu().numpy()  # FP32
-            y = list(self.ov_compiled_model([im]).values())
+            y = list(self.ov_compiled_model(im).values())
         elif self.engine:  # TensorRT
             if self.dynamic and im.shape != self.bindings['images'].shape:
                 i = self.model.get_binding_index('images')
diff --git a/ultralytics/yolo/engine/exporter.py b/ultralytics/yolo/engine/exporter.py
index 6d70a2c..61a108e 100644
--- a/ultralytics/yolo/engine/exporter.py
+++ b/ultralytics/yolo/engine/exporter.py
@@ -357,7 +357,7 @@ class Exporter:
     @try_export
     def export_openvino(self, prefix=colorstr('OpenVINO:')):
         """YOLOv8 OpenVINO export."""
-        check_requirements('openvino-dev>=2022.3')  # requires openvino-dev: https://pypi.org/project/openvino-dev/
+        check_requirements('openvino-dev>=2023.0')  # requires openvino-dev: https://pypi.org/project/openvino-dev/
         import openvino.runtime as ov  # noqa
         from openvino.tools import mo  # noqa