diff --git a/dlib/dnn/loss.h b/dlib/dnn/loss.h
index a569268398..36b37a2956 100644
--- a/dlib/dnn/loss.h
+++ b/dlib/dnn/loss.h
@@ -3827,8 +3827,8 @@ namespace dlib
                         const auto y_idx = tensor_index(output_tensor, n, k + 1, r, c);
                         const auto w_idx = tensor_index(output_tensor, n, k + 2, r, c);
                         const auto h_idx = tensor_index(output_tensor, n, k + 3, r, c);
-                        g[x_idx] = scale_box * put_in_range(-1, 1, (out_data[x_idx] * 2.0 - 0.5 - tx));
-                        g[y_idx] = scale_box * put_in_range(-1, 1, (out_data[y_idx] * 2.0 - 0.5 - ty));
+                        g[x_idx] = scale_box * put_in_range(-1, 1, (out_data[x_idx] * 2.0 - 0.5 - tx)) * 2.0f;
+                        g[y_idx] = scale_box * put_in_range(-1, 1, (out_data[y_idx] * 2.0 - 0.5 - ty)) * 2.0f;
                         g[w_idx] = scale_box * put_in_range(-1, 1, (out_data[w_idx] - tw));
                         g[h_idx] = scale_box * put_in_range(-1, 1, (out_data[h_idx] - th));
 
@@ -3863,7 +3863,7 @@ namespace dlib
                 }
 
                 // The loss is the squared norm of the gradient
-                loss += length_squared(rowm(mat(grad), n));
+                loss += 0.5 * length_squared(rowm(mat(grad), n));
             }
         };
     }