=== "Box"

    ```python
    import supervision as sv

    image = ...
    detections = sv.Detections(...)

    box_annotator = sv.BoxAnnotator()
    annotated_frame = box_annotator.annotate(
        scene=image.copy(),
        detections=detections,
    )
    ```

    <div class="result" markdown>

    ![bounding-box-annotator-example](https://media.roboflow.com/supervision-annotator-examples/bounding-box-annotator-example-purple.png){ align=center width="800" }

    </div>

=== "RoundBox"

    ```python
    import supervision as sv

    image = ...
    detections = sv.Detections(...)

    round_box_annotator = sv.RoundBoxAnnotator()
    annotated_frame = round_box_annotator.annotate(
        scene=image.copy(),
        detections=detections,
    )
    ```

    <div class="result" markdown>

    ![round-box-annotator-example](https://media.roboflow.com/supervision-annotator-examples/round-box-annotator-example-purple.png){ align=center width="800" }

    </div>

=== "BoxCorner"

    ```python
    import supervision as sv

    image = ...
    detections = sv.Detections(...)

    corner_annotator = sv.BoxCornerAnnotator()
    annotated_frame = corner_annotator.annotate(
        scene=image.copy(),
        detections=detections,
    )
    ```

    <div class="result" markdown>

    ![box-corner-annotator-example](https://media.roboflow.com/supervision-annotator-examples/box-corner-annotator-example-purple.png){ align=center width="800" }

    </div>

=== "Circle"

    ```python
    import supervision as sv

    image = ...
    detections = sv.Detections(...)

    circle_annotator = sv.CircleAnnotator()
    annotated_frame = circle_annotator.annotate(
        scene=image.copy(),
        detections=detections,
    )
    ```

    <div class="result" markdown>

    ![circle-annotator-example](https://media.roboflow.com/supervision-annotator-examples/circle-annotator-example-purple.png){ align=center width="800" }

    </div>

=== "Ellipse"

    ```python
    import supervision as sv

    image = ...
    detections = sv.Detections(...)

    ellipse_annotator = sv.EllipseAnnotator()
    annotated_frame = ellipse_annotator.annotate(
        scene=image.copy(),
        detections=detections,
    )
    ```

    <div class="result" markdown>

    ![ellipse-annotator-example](https://media.roboflow.com/supervision-annotator-examples/ellipse-annotator-example-purple.png){ align=center width="800" }

    </div>

=== "Polygon"

    ```python
    import supervision as sv

    image = ...
    detections = sv.Detections(...)

    polygon_annotator = sv.PolygonAnnotator()
    annotated_frame = polygon_annotator.annotate(
        scene=image.copy(),
        detections=detections,
    )
    ```

    <div class="result" markdown>

    ![polygon-annotator-example](https://media.roboflow.com/supervision-annotator-examples/polygon-annotator-example-purple.png){ align=center width="800" }

    </div>

=== "Color"

    ```python
    import supervision as sv

    image = ...
    detections = sv.Detections(...)

    color_annotator = sv.ColorAnnotator()
    annotated_frame = color_annotator.annotate(
        scene=image.copy(),
        detections=detections,
    )
    ```

    <div class="result" markdown>

    ![box-mask-annotator-example](https://media.roboflow.com/supervision-annotator-examples/box-mask-annotator-example-purple.png){ align=center width="800" }

    </div>

=== "Halo"

    ```python
    import supervision as sv

    image = ...
    detections = sv.Detections(...)

    halo_annotator = sv.HaloAnnotator()
    annotated_frame = halo_annotator.annotate(
        scene=image.copy(),
        detections=detections,
    )
    ```

    <div class="result" markdown>

    ![halo-annotator-example](https://media.roboflow.com/supervision-annotator-examples/halo-annotator-example-purple.png){ align=center width="800" }

    </div>

=== "Mask"

    ```python
    import supervision as sv

    image = ...
    detections = sv.Detections(...)

    mask_annotator = sv.MaskAnnotator()
    annotated_frame = mask_annotator.annotate(
        scene=image.copy(),
        detections=detections,
    )
    ```

    !!! note

        `MaskAnnotator` expects `detections.mask` to contain instance segmentation masks aligned to the image passed to `annotate`. For dense masks, provide a boolean array of shape `(N, H, W)` where `(H, W)` matches the image height and width (it also accepts `sv.CompactMask`). If your model returns framework-specific results, convert them to `sv.Detections` first, for example with `sv.Detections.from_ultralytics(...)` or `sv.Detections.from_inference(...)`.

    <div class="result" markdown>

    ![mask-annotator-example](https://media.roboflow.com/supervision-annotator-examples/mask-annotator-example-purple.png){ align=center width="800" }

    </div>

=== "Dot"

    ```python
    import supervision as sv

    image = ...
    detections = sv.Detections(...)

    dot_annotator = sv.DotAnnotator()
    annotated_frame = dot_annotator.annotate(
        scene=image.copy(),
        detections=detections,
    )
    ```

    <div class="result" markdown>

    ![dot-annotator-example](https://media.roboflow.com/supervision-annotator-examples/dot-annotator-example-purple.png){ align=center width="800" }

    </div>

=== "Triangle"

    ```python
    import supervision as sv

    image = ...
    detections = sv.Detections(...)

    triangle_annotator = sv.TriangleAnnotator()
    annotated_frame = triangle_annotator.annotate(
        scene=image.copy(),
        detections=detections,
    )
    ```

    <div class="result" markdown>

    ![triangle-annotator-example](https://media.roboflow.com/supervision-annotator-examples/triangle-annotator-example.png){ align=center width="800" }

    </div>

=== "Label"

    ```python
    import supervision as sv

    image = ...
    detections = sv.Detections(...)

    labels = [
        f"{class_name} {confidence:.2f}"
        for class_name, confidence in zip(
            detections["class_name"],
            detections.confidence,
        )
    ]

    label_annotator = sv.LabelAnnotator(text_position=sv.Position.CENTER)
    annotated_frame = label_annotator.annotate(
        scene=image.copy(), detections=detections, labels=labels
    )
    ```

    <div class="result" markdown>

    ![label-annotator-example](https://media.roboflow.com/supervision-annotator-examples/label-annotator-example-purple.png){ align=center width="800" }

    </div>

=== "RichLabel"

    ```python
    import supervision as sv

    image = ...
    detections = sv.Detections(...)

    labels = [
        f"{class_name} {confidence:.2f}"
        for class_name, confidence in zip(
            detections["class_name"],
            detections.confidence,
        )
    ]

    rich_label_annotator = sv.RichLabelAnnotator(
        font_path="TTF_FONT_PATH",
        text_position=sv.Position.CENTER,
    )
    annotated_frame = rich_label_annotator.annotate(
        scene=image.copy(),
        detections=detections,
        labels=labels,
    )
    ```

    <div class="result" markdown>

    ![label-annotator-example](https://media.roboflow.com/supervision-annotator-examples/label-annotator-example-purple.png){ align=center width="800" }

    </div>

=== "Blur"

    ```python
    import supervision as sv

    image = ...
    detections = sv.Detections(...)

    blur_annotator = sv.BlurAnnotator()
    annotated_frame = blur_annotator.annotate(
        scene=image.copy(),
        detections=detections,
    )
    ```

    <div class="result" markdown>

    ![blur-annotator-example](https://media.roboflow.com/supervision-annotator-examples/blur-annotator-example-purple.png){ align=center width="800" }

    </div>

=== "Pixelate"

    ```python
    import supervision as sv

    image = ...
    detections = sv.Detections(...)

    pixelate_annotator = sv.PixelateAnnotator()
    annotated_frame = pixelate_annotator.annotate(
        scene=image.copy(),
        detections=detections,
    )
    ```

    <div class="result" markdown>

    ![pixelate-annotator-example](https://media.roboflow.com/supervision-annotator-examples/pixelate-annotator-example-10.png){ align=center width="800" }

    </div>

    <!-- === "Crop"

    ```python
    import supervision as sv

    image = ...
    detections = sv.Detections(...)

    crop_annotator = sv.CropAnnotator()
    annotated_frame = crop_annotator.annotate(
        scene=image.copy(),
        detections=detections,
    )
    ```

    <div class="result" markdown>

    ![crop-annotator-example](https://media.roboflow.com/supervision-annotator-examples/crop-annotator-example.png){ align=center width="800" }

    </div>

    -->

=== "Trace"

    ```python
    import supervision as sv
    from ultralytics import YOLO

    model = YOLO("yolov8x.pt")

    trace_annotator = sv.TraceAnnotator()

    video_info = sv.VideoInfo.from_video_path(video_path="...")
    frames_generator = sv.get_video_frames_generator(source_path="...")
    tracker = sv.ByteTrack()

    with sv.VideoSink(target_path="...", video_info=video_info) as sink:
        for frame in frames_generator:
            result = model(frame)[0]
            detections = sv.Detections.from_ultralytics(result)
            detections = tracker.update_with_detections(detections)
            annotated_frame = trace_annotator.annotate(
                scene=frame.copy(),
                detections=detections,
            )
            sink.write_frame(frame=annotated_frame)
    ```

    <div class="result" markdown>

    ![trace-annotator-example](https://media.roboflow.com/supervision-annotator-examples/trace-annotator-example-purple.png){ align=center width="800" }

    </div>

=== "HeatMap"

    ```python
    import supervision as sv
    from ultralytics import YOLO

    model = YOLO("yolov8x.pt")

    heat_map_annotator = sv.HeatMapAnnotator()

    video_info = sv.VideoInfo.from_video_path(video_path="...")
    frames_generator = sv.get_video_frames_generator(source_path="...")

    with sv.VideoSink(target_path="...", video_info=video_info) as sink:
        for frame in frames_generator:
            result = model(frame)[0]
            detections = sv.Detections.from_ultralytics(result)
            annotated_frame = heat_map_annotator.annotate(
                scene=frame.copy(),
                detections=detections,
            )
            sink.write_frame(frame=annotated_frame)
    ```

    <div class="result" markdown>

    ![heat-map-annotator-example](https://media.roboflow.com/supervision-annotator-examples/heat-map-annotator-example-purple.png){ align=center width="800" }

    </div>

=== "PercentageBar"

    ```python
    import supervision as sv

    image = ...
    detections = sv.Detections(...)

    percentage_bar_annotator = sv.PercentageBarAnnotator()
    annotated_frame = percentage_bar_annotator.annotate(
        scene=image.copy(),
        detections=detections,
    )
    ```

    <div class="result" markdown>

    ![percentage-bar-annotator-example](https://media.roboflow.com/supervision-annotator-examples/percentage-bar-annotator-example-purple.png){ align=center width="800" }

    </div>

=== "Icon"

    ```python
    import supervision as sv

    image = ...
    detections = sv.Detections(...)

    icon_paths = ["<ICON_PATH>" for _ in detections]

    icon_annotator = sv.IconAnnotator()
    annotated_frame = icon_annotator.annotate(
        scene=image.copy(),
        detections=detections,
        icon_path=icon_paths,
    )
    ```

    <div class="result" markdown>

    ![icon-annotator-example](https://media.roboflow.com/supervision-annotator-examples/icon-annotator-example.png){ align=center width="800" }

    </div>

=== "Background Color"

    ```python
    import supervision as sv

    image = ...
    detections = sv.Detections(...)

    background_overlay_annotator = sv.BackgroundOverlayAnnotator()
    annotated_frame = background_overlay_annotator.annotate(
        scene=image.copy(),
        detections=detections,
    )
    ```

    <div class="result" markdown>

    ![background-overlay-annotator-example](https://media.roboflow.com/supervision-annotator-examples/background-color-annotator-example-purple.png){ align=center width="800" }

    </div>

=== "Comparison"

    ```python
    import supervision as sv

    image = ...
    detections_1 = sv.Detections(...)
    detections_2 = sv.Detections(...)

    comparison_annotator = sv.ComparisonAnnotator()
    annotated_frame = comparison_annotator.annotate(
        scene=image.copy(),
        detections_1=detections_1,
        detections_2=detections_2,
    )
    ```

    <div class="result" markdown>

    ![comparison-annotator-example](https://media.roboflow.com/supervision-annotator-examples/comparison-annotator-example.png){ align=center width="800" }

    </div>