Merge remote-tracking branch 'upstream/master' into r0.8

keras_cv/datasets/pascal_voc/segmentation.py

@@ -58,7 +58,7 @@ class and instance segmentation masks.
     booktitle = "International Conference on Computer Vision (ICCV)",
     year = "2011"}}
 """  # noqa: E501
-SBD_URL = "https://www.eecs.berkeley.edu/Research/Projects/CS/vision/grouping/semantic_contours/benchmark.tgz"  # noqa: E501
+SBD_URL = "https://www2.eecs.berkeley.edu/Research/Projects/CS/vision/grouping/semantic_contours/benchmark.tgz"  # noqa: E501
 
 
 # Note that this list doesn't contain the background class. In the

keras_cv/layers/serialization_test.py

@@ -377,6 +377,14 @@ class SerializationTest(TestCase):
                 "from_logits": True,
             },
         ),
+        (
+            "NonMaxSuppression",
+            cv_layers.NonMaxSuppression,
+            {
+                "bounding_box_format": "yxyx",
+                "from_logits": True,
+            },
+        ),
     )
     def test_layer_serialization(self, layer_cls, init_args):
         # TODO: Some layers are not yet compatible with Keras 3.

keras_cv/models/object_detection/yolo_v8/yolo_v8_detector.py

@@ -655,12 +655,14 @@ def from_config(cls, config):
             config["backbone"]
         )
         label_encoder = config.get("label_encoder")
-        if label_encoder is not None:
+        if label_encoder is not None and isinstance(label_encoder, dict):
             config["label_encoder"] = keras.saving.deserialize_keras_object(
                 label_encoder
             )
         prediction_decoder = config.get("prediction_decoder")
-        if prediction_decoder is not None:
+        if prediction_decoder is not None and isinstance(
+            prediction_decoder, dict
+        ):
             config[
                 "prediction_decoder"
             ] = keras.saving.deserialize_keras_object(prediction_decoder)