diff --git a/.github/workflows/build-package-internal-pypi.yaml b/.github/workflows/build-package-internal-pypi.yaml
index c12ad82c1..7adcab29a 100644
--- a/.github/workflows/build-package-internal-pypi.yaml
+++ b/.github/workflows/build-package-internal-pypi.yaml
@@ -6,6 +6,9 @@ on:
   release:
     types: [published]
 
+permissions:
+  contents: read
+
 jobs:
   build:
     uses: ./.github/workflows/build-package.yaml
diff --git a/.github/workflows/build-package-pypi.yaml b/.github/workflows/build-package-pypi.yaml
index 7c15309e0..2f1584662 100644
--- a/.github/workflows/build-package-pypi.yaml
+++ b/.github/workflows/build-package-pypi.yaml
@@ -3,6 +3,9 @@ name: Publish package [PyPI]
 on:
   workflow_dispatch:
 
+permissions:
+  contents: read
+
 jobs:
   build:
     uses: ./.github/workflows/build-package.yaml
diff --git a/.github/workflows/build-package-test-pypi.yaml b/.github/workflows/build-package-test-pypi.yaml
index ce82cc483..864c76c2d 100644
--- a/.github/workflows/build-package-test-pypi.yaml
+++ b/.github/workflows/build-package-test-pypi.yaml
@@ -6,6 +6,9 @@ on:
   release:
     types: [published]
 
+permissions:
+  contents: read
+
 jobs:
   build:
     uses: ./.github/workflows/build-package.yaml
diff --git a/.github/workflows/build-package.yaml b/.github/workflows/build-package.yaml
index 4d2e803d3..9a94347fa 100644
--- a/.github/workflows/build-package.yaml
+++ b/.github/workflows/build-package.yaml
@@ -23,6 +23,9 @@ env:
   PYPI_PORT: ${{ secrets.PYPI_PORT }}
   ENABLE_DEV_DEPENDENCIES: ${{ inputs.enable_dev_dependencies }}
 
+permissions:
+  contents: read
+
 jobs:
   build_sdk:
     runs-on: [self-hosted, sdk-runner]
diff --git a/.github/workflows/nightly-tests-geti-develop.yaml b/.github/workflows/nightly-tests-geti-develop.yaml
index 5f4ef140e..55054c082 100644
--- a/.github/workflows/nightly-tests-geti-develop.yaml
+++ b/.github/workflows/nightly-tests-geti-develop.yaml
@@ -6,6 +6,9 @@ on:
   schedule: # Execute tests at midnight every day
     - cron: "0 0 * * *"
 
+permissions:
+  contents: read
+
 jobs:
   build:
     uses: ./.github/workflows/nightly-tests.yaml
diff --git a/.github/workflows/nightly-tests-geti-latest.yaml b/.github/workflows/nightly-tests-geti-latest.yaml
index fe16423da..c9b551ebd 100644
--- a/.github/workflows/nightly-tests-geti-latest.yaml
+++ b/.github/workflows/nightly-tests-geti-latest.yaml
@@ -6,6 +6,9 @@ on:
   schedule: # Execute tests at midnight every day
     - cron: "0 0 * * *"
 
+permissions:
+  contents: read
+
 jobs:
   build:
     uses: ./.github/workflows/nightly-tests.yaml
diff --git a/.github/workflows/nightly-tests-geti-mvp.yaml b/.github/workflows/nightly-tests-geti-mvp.yaml
index 3d69383d1..9cda95d16 100644
--- a/.github/workflows/nightly-tests-geti-mvp.yaml
+++ b/.github/workflows/nightly-tests-geti-mvp.yaml
@@ -6,6 +6,9 @@ on:
   schedule: # Execute tests at midnight every day
     - cron: "0 0 * * *"
 
+permissions:
+  contents: read
+
 jobs:
   build:
     uses: ./.github/workflows/nightly-tests.yaml
diff --git a/.github/workflows/nightly-tests.yaml b/.github/workflows/nightly-tests.yaml
index 251b4162d..ef6dbf8e6 100644
--- a/.github/workflows/nightly-tests.yaml
+++ b/.github/workflows/nightly-tests.yaml
@@ -37,6 +37,9 @@ env:
   CONDA_ENV: sc_sdk_nightly_test_environment
   PYTHON_VERSION: 3.8
 
+permissions:
+  contents: read
+
 jobs:
   nightly_tests:
     runs-on: [self-hosted, sdk-runner]
diff --git a/.github/workflows/pre-merge-tests.yml b/.github/workflows/pre-merge-tests.yml
index 14222c69e..cd5310a20 100644
--- a/.github/workflows/pre-merge-tests.yml
+++ b/.github/workflows/pre-merge-tests.yml
@@ -14,6 +14,11 @@ env:
   REPORT_DIRECTORY: reports
   PYTHONUTF8: '1'
 
+permissions:
+  contents: read
+  checks: write
+  actions: write
+
 jobs:
   pr_tests:
     runs-on: ${{ matrix.os }}
diff --git a/.github/workflows/scorecard.yml b/.github/workflows/scorecard.yml
new file mode 100644
index 000000000..435fedfbe
--- /dev/null
+++ b/.github/workflows/scorecard.yml
@@ -0,0 +1,72 @@
+# This workflow uses actions that are not certified by GitHub. They are provided
+# by a third-party and are governed by separate terms of service, privacy
+# policy, and support documentation.
+
+name: Scorecard supply-chain security
+on:
+  # For Branch-Protection check. Only the default branch is supported. See
+  # https://github.com/ossf/scorecard/blob/main/docs/checks.md#branch-protection
+  branch_protection_rule:
+  # To guarantee Maintained check is occasionally updated. See
+  # https://github.com/ossf/scorecard/blob/main/docs/checks.md#maintained
+  schedule:
+    - cron: '18 5 * * 2'
+  push:
+    branches: [ "main" ]
+
+# Declare default permissions as read only.
+permissions: read-all
+
+jobs:
+  analysis:
+    name: Scorecard analysis
+    runs-on: ubuntu-latest
+    permissions:
+      # Needed to upload the results to code-scanning dashboard.
+      security-events: write
+      # Needed to publish results and get a badge (see publish_results below).
+      id-token: write
+      # Uncomment the permissions below if installing in a private repository.
+      # contents: read
+      # actions: read
+
+    steps:
+      - name: "Checkout code"
+        uses: actions/checkout@93ea575cb5d8a053eaa0ac8fa3b40d7e05a33cc8 # v3.1.0
+        with:
+          persist-credentials: false
+
+      - name: "Run analysis"
+        uses: ossf/scorecard-action@e38b1902ae4f44df626f11ba0734b14fb91f8f86 # v2.1.2
+        with:
+          results_file: results.sarif
+          results_format: sarif
+          # (Optional) "write" PAT token. Uncomment the `repo_token` line below if:
+          # - you want to enable the Branch-Protection check on a *public* repository, or
+          # - you are installing Scorecard on a *private* repository
+          # To create the PAT, follow the steps in https://github.com/ossf/scorecard-action#authentication-with-pat.
+          # repo_token: ${{ secrets.SCORECARD_TOKEN }}
+
+          # Public repositories:
+          #   - Publish results to OpenSSF REST API for easy access by consumers
+          #   - Allows the repository to include the Scorecard badge.
+          #   - See https://github.com/ossf/scorecard-action#publishing-results.
+          # For private repositories:
+          #   - `publish_results` will always be set to `false`, regardless
+          #     of the value entered here.
+          publish_results: true
+
+      # Upload the results as artifacts (optional). Commenting out will disable uploads of run results in SARIF
+      # format to the repository Actions tab.
+      - name: "Upload artifact"
+        uses: actions/upload-artifact@3cea5372237819ed00197afe530f5a7ea3e805c8 # v3.1.0
+        with:
+          name: SARIF file
+          path: results.sarif
+          retention-days: 5
+
+      # Upload the results to GitHub's code scanning dashboard.
+      - name: "Upload to code-scanning"
+        uses: github/codeql-action/upload-sarif@17573ee1cc1b9d061760f3a006fc4aac4f944fd5 # v2.2.4
+        with:
+          sarif_file: results.sarif
diff --git a/.github/workflows/security-scan.yaml b/.github/workflows/security-scan.yaml
index 2c7eab974..abdd9e611 100644
--- a/.github/workflows/security-scan.yaml
+++ b/.github/workflows/security-scan.yaml
@@ -11,6 +11,9 @@ env:
   SNYK_TOKEN: ${{ secrets.SNYK_TOKEN }}
   REPORT_DIRECTORY: reports
 
+permissions:
+  contents: read
+
 jobs:
   security:
     runs-on: [self-hosted, sdk-runner]
diff --git a/geti_sdk/deployment/legacy_converters/__init__.py b/geti_sdk/deployment/legacy_converters/__init__.py
index b815b578f..cd50fd4de 100644
--- a/geti_sdk/deployment/legacy_converters/__init__.py
+++ b/geti_sdk/deployment/legacy_converters/__init__.py
@@ -17,6 +17,24 @@
 versions of the Intel® Geti™ platform, i.e. v1.8 and below.
 """
 
-from .legacy_anomaly_converter import AnomalyClassificationToAnnotationConverter
+from .legacy_anomaly_converter import (
+    AnomalyClassificationToAnnotationConverter,
+    AnomalyDetectionToAnnotationConverter,
+    AnomalySegmentationToAnnotationConverter,
+)
+from .legacy_classification_converter import ClassificationToAnnotationConverter
+from .legacy_detection_converter import RotatedRectToAnnotationConverter
+from .legacy_segmentation_converter import (
+    MaskToAnnotationConverter,
+    SegmentationToAnnotationConverter,
+)
 
-__all__ = ["AnomalyClassificationToAnnotationConverter"]
+__all__ = [
+    "AnomalyClassificationToAnnotationConverter",
+    "AnomalyDetectionToAnnotationConverter",
+    "AnomalySegmentationToAnnotationConverter",
+    "ClassificationToAnnotationConverter",
+    "SegmentationToAnnotationConverter",
+    "MaskToAnnotationConverter",
+    "RotatedRectToAnnotationConverter",
+]
diff --git a/geti_sdk/deployment/legacy_converters/legacy_anomaly_converter.py b/geti_sdk/deployment/legacy_converters/legacy_anomaly_converter.py
index 74ec230e0..5c2530e5e 100644
--- a/geti_sdk/deployment/legacy_converters/legacy_anomaly_converter.py
+++ b/geti_sdk/deployment/legacy_converters/legacy_anomaly_converter.py
@@ -14,6 +14,7 @@
 from typing import Any, Dict
 
 import numpy as np
+from openvino.model_api.models.utils import AnomalyResult
 from otx.api.entities.annotation import (
     Annotation,
     AnnotationSceneEntity,
@@ -25,6 +26,7 @@
 from otx.api.usecases.exportable_code.prediction_to_annotation_converter import (
     IPredictionToAnnotationConverter,
 )
+from otx.api.utils.segmentation_utils import create_annotation_from_segmentation_map
 
 
 class AnomalyClassificationToAnnotationConverter(IPredictionToAnnotationConverter):
@@ -63,3 +65,102 @@ def convert_to_annotation(
         return AnnotationSceneEntity(
             kind=AnnotationSceneKind.PREDICTION, annotations=annotations
         )
+
+
+class AnomalySegmentationToAnnotationConverter(IPredictionToAnnotationConverter):
+    """
+    Convert AnomalySegmentation Predictions ModelAPI to Annotations.
+
+    :param labels: Label Schema containing the label info of the task
+    """
+
+    def __init__(self, label_schema: LabelSchemaEntity):
+        labels = label_schema.get_labels(include_empty=False)
+        self.normal_label = [label for label in labels if not label.is_anomalous][0]
+        self.anomalous_label = [label for label in labels if label.is_anomalous][0]
+        self.label_map = {0: self.normal_label, 1: self.anomalous_label}
+
+    def convert_to_annotation(
+        self, predictions: AnomalyResult, metadata: Dict[str, Any]
+    ) -> AnnotationSceneEntity:
+        """
+        Convert predictions to OTX Annotation Scene using the metadata.
+
+        :param predictions: Raw predictions from the model.
+        :param metadata: Variable containing metadata information.
+        :return: OTX annotation scene entity object.
+        """
+        assert predictions.pred_mask is not None
+        assert predictions.anomaly_map is not None
+        annotations = create_annotation_from_segmentation_map(
+            predictions.pred_mask, predictions.anomaly_map / 255.0, self.label_map
+        )
+        if len(annotations) == 0:
+            # TODO: add confidence to this label
+            annotations = [
+                Annotation(
+                    Rectangle.generate_full_box(),
+                    labels=[ScoredLabel(label=self.normal_label, probability=1.0)],
+                )
+            ]
+        return AnnotationSceneEntity(
+            kind=AnnotationSceneKind.PREDICTION, annotations=annotations
+        )
+
+
+class AnomalyDetectionToAnnotationConverter(IPredictionToAnnotationConverter):
+    """
+    Convert Anomaly Detection Predictions ModelAPI to Annotations.
+
+    :param labels: Label Schema containing the label info of the task
+    """
+
+    def __init__(self, label_schema: LabelSchemaEntity):
+        labels = label_schema.get_labels(include_empty=False)
+        self.normal_label = [label for label in labels if not label.is_anomalous][0]
+        self.anomalous_label = [label for label in labels if label.is_anomalous][0]
+        self.label_map = {0: self.normal_label, 1: self.anomalous_label}
+
+    def convert_to_annotation(
+        self, predictions: AnomalyResult, metadata: Dict[str, Any]
+    ) -> AnnotationSceneEntity:
+        """
+        Convert predictions to OTX Annotation Scene using the metadata.
+
+        :param predictions: Raw predictions from the model.
+        :param metadata: Variable containing metadata information.
+        :return: OTX annotation scene entity object.
+        """
+        assert predictions.pred_boxes is not None
+        assert predictions.pred_score is not None
+        assert predictions.pred_mask is not None
+        annotations = []
+        image_h, image_w = predictions.pred_mask.shape
+        for box in predictions.pred_boxes:
+            annotations.append(
+                Annotation(
+                    Rectangle(
+                        box[0] / image_w,
+                        box[1] / image_h,
+                        box[2] / image_w,
+                        box[3] / image_h,
+                    ),
+                    labels=[
+                        ScoredLabel(
+                            label=self.anomalous_label,
+                            probability=predictions.pred_score,
+                        )
+                    ],
+                )
+            )
+        if len(annotations) == 0:
+            # TODO: add confidence to this label
+            annotations = [
+                Annotation(
+                    Rectangle.generate_full_box(),
+                    labels=[ScoredLabel(label=self.normal_label, probability=1.0)],
+                )
+            ]
+        return AnnotationSceneEntity(
+            kind=AnnotationSceneKind.PREDICTION, annotations=annotations
+        )
diff --git a/geti_sdk/deployment/legacy_converters/legacy_classification_converter.py b/geti_sdk/deployment/legacy_converters/legacy_classification_converter.py
new file mode 100644
index 000000000..b16376f0a
--- /dev/null
+++ b/geti_sdk/deployment/legacy_converters/legacy_classification_converter.py
@@ -0,0 +1,85 @@
+# Copyright (C) 2024 Intel Corporation
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions
+# and limitations under the License.
+from typing import Dict, List, Optional, Tuple
+
+from otx.algorithms.classification.utils import get_hierarchical_label_list
+from otx.api.entities.annotation import (
+    Annotation,
+    AnnotationSceneEntity,
+    AnnotationSceneKind,
+)
+from otx.api.entities.label_schema import LabelSchemaEntity
+from otx.api.entities.scored_label import ScoredLabel
+from otx.api.entities.shapes.rectangle import Rectangle
+from otx.api.usecases.exportable_code.prediction_to_annotation_converter import (
+    IPredictionToAnnotationConverter,
+)
+from otx.api.utils.labels_utils import get_empty_label
+
+
+class ClassificationToAnnotationConverter(IPredictionToAnnotationConverter):
+    """
+    Convert Classification Predictions ModelAPI to Annotations.
+
+
+    :param labels: Label Schema containing the label info of the task
+    :param hierarchical_cls_heads_info: Info from model.hierarchical_info["cls_heads_info"]
+    """
+
+    def __init__(
+        self,
+        label_schema: LabelSchemaEntity,
+        hierarchical_cls_heads_info: Optional[Dict] = None,
+    ):
+        if len(label_schema.get_labels(False)) == 1:
+            self.labels = label_schema.get_labels(include_empty=True)
+        else:
+            self.labels = label_schema.get_labels(include_empty=False)
+        self.empty_label = get_empty_label(label_schema)
+        multilabel = len(label_schema.get_groups(False)) > 1
+        multilabel = multilabel and len(label_schema.get_groups(False)) == len(
+            label_schema.get_labels(include_empty=False)
+        )
+        self.hierarchical = not multilabel and len(label_schema.get_groups(False)) > 1
+
+        self.label_schema = label_schema
+
+        if self.hierarchical:
+            self.labels = get_hierarchical_label_list(
+                hierarchical_cls_heads_info, self.labels
+            )
+
+    def convert_to_annotation(
+        self, predictions: List[Tuple[int, float]], metadata: Optional[Dict] = None
+    ) -> AnnotationSceneEntity:
+        """
+        Convert predictions to OTX Annotation Scene using the metadata.
+
+        :param predictions: Raw predictions from the model.
+        :param metadata: Variable containing metadata information.
+        :return: OTX annotation scene entity object.
+        """
+        labels = []
+        for index, score in predictions:
+            labels.append(ScoredLabel(self.labels[index], float(score)))
+        if self.hierarchical:
+            labels = self.label_schema.resolve_labels_probabilistic(labels)
+
+        if not labels and self.empty_label:
+            labels = [ScoredLabel(self.empty_label, probability=1.0)]
+
+        annotations = [Annotation(Rectangle.generate_full_box(), labels=labels)]
+        return AnnotationSceneEntity(
+            kind=AnnotationSceneKind.PREDICTION, annotations=annotations
+        )
diff --git a/geti_sdk/deployment/legacy_converters/legacy_detection_converter.py b/geti_sdk/deployment/legacy_converters/legacy_detection_converter.py
new file mode 100644
index 000000000..0b9ef0f4d
--- /dev/null
+++ b/geti_sdk/deployment/legacy_converters/legacy_detection_converter.py
@@ -0,0 +1,113 @@
+# Copyright (C) 2024 Intel Corporation
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions
+# and limitations under the License.
+from typing import Any, Dict, Optional, Union
+
+import cv2
+import numpy as np
+from otx.api.entities.annotation import (
+    Annotation,
+    AnnotationSceneEntity,
+    AnnotationSceneKind,
+)
+from otx.api.entities.label_schema import LabelSchemaEntity
+from otx.api.entities.scored_label import ScoredLabel
+from otx.api.entities.shapes.ellipse import Ellipse
+from otx.api.entities.shapes.polygon import Point, Polygon
+from otx.api.usecases.exportable_code.prediction_to_annotation_converter import (
+    IPredictionToAnnotationConverter,
+)
+
+
+class RotatedRectToAnnotationConverter(IPredictionToAnnotationConverter):
+    """
+    Convert Rotated Rect (mask) Predictions ModelAPI to Annotations.
+
+    :param labels: Label Schema containing the label info of the task
+    """
+
+    def __init__(
+        self, labels: LabelSchemaEntity, configuration: Optional[Dict[str, Any]] = None
+    ):
+        self.labels = labels.get_labels(include_empty=False)
+        self.use_ellipse_shapes = False
+        self.confidence_threshold = 0.0
+        if configuration is not None:
+            if "use_ellipse_shapes" in configuration:
+                self.use_ellipse_shapes = configuration["use_ellipse_shapes"]
+            if "confidence_threshold" in configuration:
+                self.confidence_threshold = configuration["confidence_threshold"]
+
+    def convert_to_annotation(
+        self, predictions: tuple, metadata: Dict[str, Any]
+    ) -> AnnotationSceneEntity:
+        """
+        Convert predictions to OTX Annotation Scene using the metadata.
+
+        :param predictions: Raw predictions from the model.
+        :param metadata: Variable containing metadata information.
+        :return: OTX annotation scene entity object.
+        """
+        annotations = []
+        height, width, _ = metadata["original_shape"]
+        shape: Union[Polygon, Ellipse]
+        for score, class_idx, box, mask in zip(*predictions):
+            if score < self.confidence_threshold:
+                continue
+            if self.use_ellipse_shapes:
+                shape = Ellipse(
+                    box[0] / width, box[1] / height, box[2] / width, box[3] / height
+                )
+                annotations.append(
+                    Annotation(
+                        shape,
+                        labels=[
+                            ScoredLabel(self.labels[int(class_idx) - 1], float(score))
+                        ],
+                    )
+                )
+            else:
+                mask = mask.astype(np.uint8)
+                contours, hierarchies = cv2.findContours(
+                    mask, cv2.RETR_CCOMP, cv2.CHAIN_APPROX_SIMPLE
+                )
+                if hierarchies is None:
+                    continue
+                for contour, hierarchy in zip(contours, hierarchies[0]):
+                    if hierarchy[3] != -1:
+                        continue
+                    if len(contour) <= 2 or cv2.contourArea(contour) < 1.0:
+                        continue
+                    points = [
+                        Point(
+                            x=point[0] / width,
+                            y=point[1] / height,
+                        )
+                        for point in cv2.boxPoints(cv2.minAreaRect(contour))
+                    ]
+                    shape = Polygon(points=points)
+                    annotations.append(
+                        Annotation(
+                            shape,
+                            labels=[
+                                ScoredLabel(
+                                    self.labels[int(class_idx) - 1], float(score)
+                                )
+                            ],
+                        )
+                    )
+        annotation_scene = AnnotationSceneEntity(
+            kind=AnnotationSceneKind.PREDICTION,
+            annotations=annotations,
+        )
+        return annotation_scene
diff --git a/geti_sdk/deployment/legacy_converters/legacy_segmentation_converter.py b/geti_sdk/deployment/legacy_converters/legacy_segmentation_converter.py
new file mode 100644
index 000000000..f9b673a9d
--- /dev/null
+++ b/geti_sdk/deployment/legacy_converters/legacy_segmentation_converter.py
@@ -0,0 +1,146 @@
+# Copyright (C) 2024 Intel Corporation
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions
+# and limitations under the License.
+from typing import Any, Dict, Optional, Union
+
+import cv2
+import numpy as np
+from otx.api.entities.annotation import (
+    Annotation,
+    AnnotationSceneEntity,
+    AnnotationSceneKind,
+)
+from otx.api.entities.label_schema import LabelSchemaEntity
+from otx.api.entities.scored_label import ScoredLabel
+from otx.api.entities.shapes.ellipse import Ellipse
+from otx.api.entities.shapes.polygon import Point, Polygon
+from otx.api.usecases.exportable_code.prediction_to_annotation_converter import (
+    IPredictionToAnnotationConverter,
+)
+from otx.api.utils.segmentation_utils import create_annotation_from_segmentation_map
+
+
+class SegmentationToAnnotationConverter(IPredictionToAnnotationConverter):
+    """
+    Convert Segmentation Predictions ModelAPI to Annotations.
+
+    :param labels: Label Schema containing the label info of the task
+    """
+
+    def __init__(self, label_schema: LabelSchemaEntity):
+        labels = label_schema.get_labels(include_empty=False)
+        self.label_map = dict(enumerate(labels, 1))
+
+    def convert_to_annotation(
+        self, predictions: np.ndarray, metadata: Dict[str, Any]
+    ) -> AnnotationSceneEntity:
+        """
+        Convert predictions to OTX Annotation Scene using the metadata.
+
+        :param predictions: Raw predictions from the model.
+        :param metadata: Variable containing metadata information.
+        :return: OTX annotation scene entity object.
+        """
+        soft_prediction = metadata.get("soft_prediction", np.ones(predictions.shape))
+        annotations = create_annotation_from_segmentation_map(
+            hard_prediction=predictions,
+            soft_prediction=soft_prediction,
+            label_map=self.label_map,
+        )
+
+        return AnnotationSceneEntity(
+            kind=AnnotationSceneKind.PREDICTION, annotations=annotations
+        )
+
+
+class MaskToAnnotationConverter(IPredictionToAnnotationConverter):
+    """
+    Convert Instance Segmentation Mask Predictions ModelAPI to Annotations.
+    """
+
+    def __init__(
+        self, labels: LabelSchemaEntity, configuration: Optional[Dict[str, Any]] = None
+    ):
+        self.labels = labels.get_labels(include_empty=False)
+        self.use_ellipse_shapes = False
+        self.confidence_threshold = 0.0
+        if configuration is not None:
+            if "use_ellipse_shapes" in configuration:
+                self.use_ellipse_shapes = configuration["use_ellipse_shapes"]
+            if "confidence_threshold" in configuration:
+                self.confidence_threshold = configuration["confidence_threshold"]
+
+    def convert_to_annotation(
+        self, predictions: tuple, metadata: Dict[str, Any]
+    ) -> AnnotationSceneEntity:
+        """
+        Convert predictions to OTX Annotation Scene using the metadata.
+
+        :param predictions: Raw predictions from the model.
+        :param metadata: Variable containing metadata information.
+        :return: OTX annotation scene entity object.
+        """
+        annotations = []
+        height, width, _ = metadata["original_shape"]
+        shape: Union[Polygon, Ellipse]
+        for score, class_idx, box, mask in zip(*predictions):
+            if score < self.confidence_threshold:
+                continue
+            if self.use_ellipse_shapes:
+                shape = Ellipse(
+                    box[0] / width, box[1] / height, box[2] / width, box[3] / height
+                )
+                annotations.append(
+                    Annotation(
+                        shape,
+                        labels=[
+                            ScoredLabel(self.labels[int(class_idx) - 1], float(score))
+                        ],
+                    )
+                )
+            else:
+                mask = mask.astype(np.uint8)
+                contours, hierarchies = cv2.findContours(
+                    mask, cv2.RETR_CCOMP, cv2.CHAIN_APPROX_SIMPLE
+                )
+                if hierarchies is None:
+                    continue
+                for contour, hierarchy in zip(contours, hierarchies[0]):
+                    if hierarchy[3] != -1:
+                        continue
+                    if len(contour) <= 2 or cv2.contourArea(contour) < 1.0:
+                        continue
+                    contour = list(contour)
+                    points = [
+                        Point(
+                            x=point[0][0] / width,
+                            y=point[0][1] / height,
+                        )
+                        for point in contour
+                    ]
+                    shape = Polygon(points=points)
+                    annotations.append(
+                        Annotation(
+                            shape,
+                            labels=[
+                                ScoredLabel(
+                                    self.labels[int(class_idx) - 1], float(score)
+                                )
+                            ],
+                        )
+                    )
+        annotation_scene = AnnotationSceneEntity(
+            kind=AnnotationSceneKind.PREDICTION,
+            annotations=annotations,
+        )
+        return annotation_scene
diff --git a/requirements/requirements.txt b/requirements/requirements.txt
index 536e6bd3a..3af1c9503 100644
--- a/requirements/requirements.txt
+++ b/requirements/requirements.txt
@@ -10,7 +10,7 @@ Pillow==10.2.*
 pathvalidate>=2.5.0
 simplejson==3.19.*
 ipython==8.12.*
-otx==1.4.4
+otx==1.5.0
 openvino==2023.0.*
 openvino-model-api==0.1.5
 certifi>=2022.12.7
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--- a/tests/fixtures/cassettes/TestAnnotationClient.test_download_annotations_for_video.cassette
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index 548a38048..443cd3f30 100644
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index 463841abc..9511b6541 100644
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index ed4fff58b..dd3c6538e 100644
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+++ b/tests/fixtures/cassettes/TestGeti.test_create_single_task_project_from_dataset[Classification project].cassette	
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index de24298b2..2ce08a16c 100644
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+++ b/tests/fixtures/cassettes/TestGeti.test_create_single_task_project_from_dataset[Detection project].cassette	
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index 83fa3d26a..b80c5bf3e 100644
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index 86e4b58ba..baea84337 100644
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index 6a876af00..715885a40 100644
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