diff --git a/dlib/dnn/loss.h b/dlib/dnn/loss.h
index 2fef118cc..418400e82 100644
--- a/dlib/dnn/loss.h
+++ b/dlib/dnn/loss.h
@@ -443,7 +443,7 @@ namespace dlib
 
 // ----------------------------------------------------------------------------------------
 
-    class loss_binary_mmod_ 
+    class loss_mmod_ 
     {
         struct intermediate_detection
         {
@@ -470,9 +470,9 @@ namespace dlib
 
         typedef std::vector<mmod_rect> label_type;
 
-        loss_binary_mmod_() {}
+        loss_mmod_() {}
 
-        loss_binary_mmod_(mmod_options options_) : options(options_) {}
+        loss_mmod_(mmod_options options_) : options(options_) {}
 
         const mmod_options& get_options (
         ) const { return options; }
@@ -671,32 +671,32 @@ namespace dlib
         }
 
 
-        friend void serialize(const loss_binary_mmod_& item, std::ostream& out)
+        friend void serialize(const loss_mmod_& item, std::ostream& out)
         {
-            serialize("loss_binary_mmod_", out);
+            serialize("loss_mmod_", out);
             serialize(item.options, out);
         }
 
-        friend void deserialize(loss_binary_mmod_& item, std::istream& in)
+        friend void deserialize(loss_mmod_& item, std::istream& in)
         {
             std::string version;
             deserialize(version, in);
-            if (version != "loss_binary_mmod_")
-                throw serialization_error("Unexpected version found while deserializing dlib::loss_binary_mmod_.");
+            if (version != "loss_mmod_")
+                throw serialization_error("Unexpected version found while deserializing dlib::loss_mmod_.");
             deserialize(item.options, in);
         }
 
-        friend std::ostream& operator<<(std::ostream& out, const loss_binary_mmod_& )
+        friend std::ostream& operator<<(std::ostream& out, const loss_mmod_& )
         {
             // TODO, add options fields
-            out << "loss_binary_mmod";
+            out << "loss_mmod";
             return out;
         }
 
-        friend void to_xml(const loss_binary_mmod_& /*item*/, std::ostream& out)
+        friend void to_xml(const loss_mmod_& /*item*/, std::ostream& out)
         {
             // TODO, add options fields
-            out << "<loss_binary_mmod/>";
+            out << "<loss_mmod/>";
         }
 
     private:
@@ -857,7 +857,7 @@ namespace dlib
     };
 
     template <typename SUBNET>
-    using loss_binary_mmod = add_loss_layer<loss_binary_mmod_, SUBNET>;
+    using loss_mmod = add_loss_layer<loss_mmod_, SUBNET>;
 
 // ----------------------------------------------------------------------------------------
 
diff --git a/dlib/dnn/loss_abstract.h b/dlib/dnn/loss_abstract.h
index 686f0c3a4..6193e90e0 100644
--- a/dlib/dnn/loss_abstract.h
+++ b/dlib/dnn/loss_abstract.h
@@ -359,7 +359,7 @@ namespace dlib
     {
         /*!
             WHAT THIS OBJECT REPRESENTS
-                This object contains all the parameters that control the behavior of loss_binary_mmod_.
+                This object contains all the parameters that control the behavior of loss_mmod_.
         !*/
 
     public:
@@ -419,7 +419,7 @@ namespace dlib
 
 // ----------------------------------------------------------------------------------------
 
-    class loss_binary_mmod_ 
+    class loss_mmod_ 
     {
         /*!
             WHAT THIS OBJECT REPRESENTS
@@ -438,21 +438,21 @@ namespace dlib
                     - image_space_to_tensor_space()
                 A reference implementation of them and their definitions can be found in
                 the input_rgb_image_pyramid object, which is the recommended input layer to
-                be used with loss_binary_mmod_.
+                be used with loss_mmod_.
         !*/
 
     public:
 
         typedef std::vector<mmod_rect> label_type;
 
-        loss_binary_mmod_(
+        loss_mmod_(
         );
         /*!
             ensures
                 - #get_options() == mmod_options()
         !*/
 
-        loss_binary_mmod_(
+        loss_mmod_(
             mmod_options options_
         );
         /*!
@@ -517,7 +517,7 @@ namespace dlib
     };
 
     template <typename SUBNET>
-    using loss_binary_mmod = add_loss_layer<loss_binary_mmod_, SUBNET>;
+    using loss_mmod = add_loss_layer<loss_mmod_, SUBNET>;
 
 // ----------------------------------------------------------------------------------------
 
diff --git a/dlib/dnn/validation.h b/dlib/dnn/validation.h
index b347e005c..c5beb7c1a 100644
--- a/dlib/dnn/validation.h
+++ b/dlib/dnn/validation.h
@@ -15,7 +15,7 @@ namespace dlib
         typename image_array_type
         >
     const matrix<double,1,3> test_object_detection_function (
-        loss_binary_mmod<SUBNET>& detector,
+        loss_mmod<SUBNET>& detector,
         const image_array_type& images,
         const std::vector<std::vector<mmod_rect>>& truth_dets,
         const test_box_overlap& overlap_tester = test_box_overlap(),
diff --git a/dlib/dnn/validation_abstract.h b/dlib/dnn/validation_abstract.h
index 5ff77eb60..38c5c60ad 100644
--- a/dlib/dnn/validation_abstract.h
+++ b/dlib/dnn/validation_abstract.h
@@ -14,7 +14,7 @@ namespace dlib
         typename image_array_type
         >
     const matrix<double,1,3> test_object_detection_function (
-        loss_binary_mmod<SUBNET>& detector,
+        loss_mmod<SUBNET>& detector,
         const image_array_type& images,
         const std::vector<std::vector<mmod_rect>>& truth_dets,
         const test_box_overlap& overlap_tester = test_box_overlap(),
@@ -27,7 +27,7 @@ namespace dlib
               and it must contain objects which can be accepted by detector().
         ensures
             - This function is just like the test_object_detection_function() for
-              object_detector's except it runs on CNNs that use loss_binary_mmod.
+              object_detector's except it runs on CNNs that use loss_mmod.
             - Tests the given detector against the supplied object detection problem and
               returns the precision, recall, and average precision.  Note that the task is
               to predict, for each images[i], the set of object locations given by
diff --git a/dlib/image_processing/full_object_detection_abstract.h b/dlib/image_processing/full_object_detection_abstract.h
index 779d1aa08..3a93e5903 100644
--- a/dlib/image_processing/full_object_detection_abstract.h
+++ b/dlib/image_processing/full_object_detection_abstract.h
@@ -145,7 +145,7 @@ namespace dlib
         /*!
             WHAT THIS OBJECT REPRESENTS
                 This is a simple struct that is used to give training data and receive detections
-                from the Max-Margin Object Detection loss layer loss_binary_mmod_ object.
+                from the Max-Margin Object Detection loss layer loss_mmod_ object.
         !*/
 
         mmod_rect() = default;