diff --git a/perception/object_detector/object_detector.cpp b/perception/object_detector/object_detector.cpp
index 601b03a1..69025af3 100644
--- a/perception/object_detector/object_detector.cpp
+++ b/perception/object_detector/object_detector.cpp
@@ -32,7 +32,7 @@ namespace mrover {
 
         using namespace std::placeholders;
 
-        mModel = Model(modelName, {0, 0}, {"bottle", "hammer"}, mTensorRT.getInputTensorSize(), mTensorRT.getOutputTensorSize(), [](Model const& model, cv::Mat& rgbImage, cv::Mat& blobSizedImage, cv::Mat& blob){preprocessYOLOv8Input(model, rgbImage, blobSizedImage, blob);}, [this](Model const& model, cv::Mat& output, std::vector<Detection>& detections){parseYOLOv8Output(model, output, detections);});
+        mModel = Model(modelName, {0, 0}, {"bottle", "hammer"}, mTensorRT.getInputTensorSize(), mTensorRT.getOutputTensorSize(), [](Model const& model, cv::Mat& rgbImage, cv::Mat& blobSizedImage, cv::Mat& blob) { preprocessYOLOv8Input(model, rgbImage, blobSizedImage, blob); }, [this](Model const& model, cv::Mat& output, std::vector<Detection>& detections) { parseYOLOv8Output(model, output, detections); });
 
         RCLCPP_INFO_STREAM(get_logger(), std::format("Object detector initialized with model: {} and thresholds: {} and {}", mModel.modelName, mModelScoreThreshold, mModelNMSThreshold));
     }
diff --git a/perception/object_detector/object_detector.hpp b/perception/object_detector/object_detector.hpp
index e8e92f63..ea0ac708 100644
--- a/perception/object_detector/object_detector.hpp
+++ b/perception/object_detector/object_detector.hpp
@@ -12,7 +12,7 @@ namespace mrover {
             float confidence{};
             cv::Rect box;
 
-            Detection(int _classId, std::string _className, float _confidence, cv::Rect _box) : classId{_classId}, className{_className}, confidence{_confidence}, box{_box}{}
+            Detection(int _classId, std::string _className, float _confidence, cv::Rect _box) : classId{_classId}, className{_className}, confidence{_confidence}, box{_box} {}
         };
 
         struct Model {
@@ -37,7 +37,6 @@ namespace mrover {
             Model(std::string _modelName, std::vector<int> _objectHitCounts, std::vector<std::string> _classes, std::vector<int64_t> _inputTensorSize, std::vector<int64_t> _outputTensorSize, std::function<void(Model const&, cv::Mat&, cv::Mat&, cv::Mat&)> _rbgImageToBlob, std::function<void(Model const&, cv::Mat&, std::vector<Detection>&)> _outputTensorToDetections) : modelName{std::move(_modelName)}, objectHitCounts(std::move(_objectHitCounts)), classes(std::move(_classes)), inputTensorSize(std::move(_inputTensorSize)), outputTensorSize(std::move(_outputTensorSize)), rgbImageToBlob{std::move(_rbgImageToBlob)}, outputTensorToDetections{std::move(_outputTensorToDetections)} {}
         };
 
-        
 
         static constexpr char const* NODE_NAME = "object_detector";
 
@@ -78,10 +77,10 @@ namespace mrover {
         auto publishDetectedObjects(cv::InputArray const& image) -> void;
 
         static auto drawDetectionBoxes(cv::InputOutputArray& image, std::span<Detection const> detections) -> void;
-        
+
         auto parseYOLOv8Output(Model const& model,
-                                      cv::Mat& output,
-                                      std::vector<Detection>& detections) const -> void;
+                               cv::Mat& output,
+                               std::vector<Detection>& detections) const -> void;
 
         static auto preprocessYOLOv8Input(Model const& model, cv::Mat const& rgbImage, cv::Mat& blobSizedImage, cv::Mat& blob) -> void;