diff --git a/crates/re_types/definitions/rerun/datatypes/tensor_buffer.fbs b/crates/re_types/definitions/rerun/datatypes/tensor_buffer.fbs
index a84830e4c89c..52b25cf07c5e 100644
--- a/crates/re_types/definitions/rerun/datatypes/tensor_buffer.fbs
+++ b/crates/re_types/definitions/rerun/datatypes/tensor_buffer.fbs
@@ -110,7 +110,7 @@ union TensorBuffer (
   /// First comes entire image in Y, followed by interleaved lines ordered as U0, V0, U1, V1, etc.
   NV12: NV12Buffer (transparent),
 
-  /// YUY2, also known as YUYV is a YUV 4:2:2 chrome downsampled format with 8 bits per channel.
+  /// YUY2, also known as YUYV is a YUV 4:2:2 chroma downsampled format with 8 bits per channel.
   ///
   /// The order of the channels is Y0, U0, Y1, V0.
   YUY2: YUY2Buffer (transparent),
diff --git a/crates/re_types/src/datatypes/tensor_buffer.rs b/crates/re_types/src/datatypes/tensor_buffer.rs
index d52e2d0fdfa8..9a2f31994eca 100644
--- a/crates/re_types/src/datatypes/tensor_buffer.rs
+++ b/crates/re_types/src/datatypes/tensor_buffer.rs
@@ -67,7 +67,7 @@ pub enum TensorBuffer {
     /// First comes entire image in Y, followed by interleaved lines ordered as U0, V0, U1, V1, etc.
     Nv12(::re_types_core::ArrowBuffer<u8>),
 
-    /// YUY2, also known as YUYV is a YUV 4:2:2 chrome downsampled format with 8 bits per channel.
+    /// YUY2, also known as YUYV is a YUV 4:2:2 chroma downsampled format with 8 bits per channel.
     ///
     /// The order of the channels is Y0, U0, Y1, V0.
     Yuy2(::re_types_core::ArrowBuffer<u8>),
diff --git a/rerun_cpp/src/rerun/datatypes/tensor_buffer.hpp b/rerun_cpp/src/rerun/datatypes/tensor_buffer.hpp
index 9d73a88eac21..f1a40ad5fc0b 100644
--- a/rerun_cpp/src/rerun/datatypes/tensor_buffer.hpp
+++ b/rerun_cpp/src/rerun/datatypes/tensor_buffer.hpp
@@ -85,7 +85,7 @@ namespace rerun::datatypes {
             /// First comes entire image in Y, followed by interleaved lines ordered as U0, V0, U1, V1, etc.
             rerun::Collection<uint8_t> nv12;
 
-            /// YUY2, also known as YUYV is a YUV 4:2:2 chrome downsampled format with 8 bits per channel.
+            /// YUY2, also known as YUYV is a YUV 4:2:2 chroma downsampled format with 8 bits per channel.
             ///
             /// The order of the channels is Y0, U0, Y1, V0.
             rerun::Collection<uint8_t> yuy2;
@@ -420,7 +420,7 @@ namespace rerun::datatypes {
             return self;
         }
 
-        /// YUY2, also known as YUYV is a YUV 4:2:2 chrome downsampled format with 8 bits per channel.
+        /// YUY2, also known as YUYV is a YUV 4:2:2 chroma downsampled format with 8 bits per channel.
         ///
         /// The order of the channels is Y0, U0, Y1, V0.
         static TensorBuffer yuy2(rerun::Collection<uint8_t> yuy2) {
diff --git a/rerun_py/rerun_sdk/rerun/datatypes/tensor_buffer.py b/rerun_py/rerun_sdk/rerun/datatypes/tensor_buffer.py
index b608bf32c8cd..34cd5165a0be 100644
--- a/rerun_py/rerun_sdk/rerun/datatypes/tensor_buffer.py
+++ b/rerun_py/rerun_sdk/rerun/datatypes/tensor_buffer.py
@@ -88,7 +88,7 @@ class TensorBuffer(TensorBufferExt):
         First comes entire image in Y, followed by interleaved lines ordered as U0, V0, U1, V1, etc.
 
     * YUY2 (npt.NDArray[np.uint8]):
-        YUY2, also known as YUYV is a YUV 4:2:2 chrome downsampled format with 8 bits per channel.
+        YUY2, also known as YUYV is a YUV 4:2:2 chroma downsampled format with 8 bits per channel.
 
         The order of the channels is Y0, U0, Y1, V0.
     """
@@ -141,7 +141,7 @@ class TensorBuffer(TensorBufferExt):
         First comes entire image in Y, followed by interleaved lines ordered as U0, V0, U1, V1, etc.
 
     * "YUY2":
-        YUY2, also known as YUYV is a YUV 4:2:2 chrome downsampled format with 8 bits per channel.
+        YUY2, also known as YUYV is a YUV 4:2:2 chroma downsampled format with 8 bits per channel.
 
         The order of the channels is Y0, U0, Y1, V0.
     """