diff --git a/src/main/java/io/bioimage/modelrunner/tensorflow/v2/api020/shm/ShmBuilder.java b/src/main/java/io/bioimage/modelrunner/tensorflow/v2/api020/shm/ShmBuilder.java
index 1b5dccd..3984a93 100644
--- a/src/main/java/io/bioimage/modelrunner/tensorflow/v2/api020/shm/ShmBuilder.java
+++ b/src/main/java/io/bioimage/modelrunner/tensorflow/v2/api020/shm/ShmBuilder.java
@@ -36,7 +36,6 @@
 import org.tensorflow.types.TUint8;
 import org.tensorflow.types.family.TType;
 
-import net.imglib2.RandomAccessibleInterval;
 import net.imglib2.type.numeric.integer.IntType;
 import net.imglib2.type.numeric.integer.LongType;
 import net.imglib2.type.numeric.integer.UnsignedByteType;
@@ -44,11 +43,10 @@
 import net.imglib2.type.numeric.real.FloatType;
 
 /**
- * A {@link RandomAccessibleInterval} builder for TensorFlow {@link Tensor} objects.
- * Build ImgLib2 objects (backend of {@link io.bioimage.modelrunner.tensor.Tensor})
- * from Tensorflow 2 {@link Tensor}
+ * A utility class that converts {@link Tensor}s into {@link SharedMemoryArray}s for
+ * interprocessing communication
  * 
- * @author Carlos Garcia Lopez de Haro and Daniel Felipe Gonzalez Obando
+ * @author Carlos Garcia Lopez de Haro
  */
 public final class ShmBuilder
 {
@@ -59,16 +57,15 @@ private ShmBuilder()
     {
     }
 
-	/**
-	 * Creates a {@link RandomAccessibleInterval} from a given {@link TType} tensor
-	 * 
-	 * @param <T> 
-	 * 	the possible ImgLib2 datatypes of the image
-	 * @param tensor 
-	 * 	The {@link TType} tensor data is read from.
-	 * @throws IllegalArgumentException If the {@link TType} tensor type is not supported.
-	 * @throws IOException 
-	 */
+    /**
+     * Create a {@link SharedMemoryArray} from a {@link Tensor}
+     * @param tensor
+     * 	the tensor to be passed into the other process through the shared memory
+     * @param memoryName
+     * 	the name of the memory region where the tensor is going to be copied
+     * @throws IllegalArgumentException if the data type of the tensor is not supported
+     * @throws IOException if there is any error creating the shared memory array
+     */
     @SuppressWarnings("unchecked")
 	public static void build(Tensor<? extends TType>  tensor, String memoryName) throws IllegalArgumentException, IOException
     {
@@ -89,14 +86,6 @@ public static void build(Tensor<? extends TType>  tensor, String memoryName) thr
         }
     }
 
-	/**
-	 * Builds a {@link RandomAccessibleInterval} from a unsigned byte-typed {@link TUint8} tensor.
-	 * 
-	 * @param tensor 
-	 * 	The {@link TUint8} tensor data is read from.
-	 * @return The {@link RandomAccessibleInterval} built from the tensor, of type {@link UnsignedByteType}.
-	 * @throws IOException 
-	 */
     private static void buildFromTensorUByte(Tensor<TUint8> tensor, String memoryName) throws IOException
     {
     	long[] arrayShape = tensor.shape().asArray();
@@ -114,14 +103,6 @@ private static void buildFromTensorUByte(Tensor<TUint8> tensor, String memoryNam
         if (PlatformDetection.isWindows()) shma.close();
     }
 
-	/**
-	 * Builds a {@link RandomAccessibleInterval} from a unsigned int32-typed {@link TInt32} tensor.
-	 * 
-	 * @param tensor 
-	 * 	The {@link TInt32} tensor data is read from.
-	 * @return The {@link RandomAccessibleInterval} built from the tensor, of type {@link IntType}.
-	 * @throws IOException 
-	 */
     private static void buildFromTensorInt(Tensor<TInt32> tensor, String memoryName) throws IOException
     {
     	long[] arrayShape = tensor.shape().asArray();
@@ -140,14 +121,6 @@ private static void buildFromTensorInt(Tensor<TInt32> tensor, String memoryName)
         if (PlatformDetection.isWindows()) shma.close();
     }
 
-	/**
-	 * Builds a {@link RandomAccessibleInterval} from a unsigned float32-typed {@link TFloat32} tensor.
-	 * 
-	 * @param tensor 
-	 * 	The {@link TFloat32} tensor data is read from.
-	 * @return The {@link RandomAccessibleInterval} built from the tensor, of type {@link FloatType}.
-	 * @throws IOException 
-	 */
     private static void buildFromTensorFloat(Tensor<TFloat32> tensor, String memoryName) throws IOException
     {
     	long[] arrayShape = tensor.shape().asArray();
@@ -166,14 +139,6 @@ private static void buildFromTensorFloat(Tensor<TFloat32> tensor, String memoryN
         if (PlatformDetection.isWindows()) shma.close();
     }
 
-	/**
-	 * Builds a {@link RandomAccessibleInterval} from a unsigned float64-typed {@link TFloat64} tensor.
-	 * 
-	 * @param tensor 
-	 * 	The {@link TFloat64} tensor data is read from.
-	 * @return The {@link RandomAccessibleInterval} built from the tensor, of type {@link DoubleType}.
-	 * @throws IOException 
-	 */
     private static void buildFromTensorDouble(Tensor<TFloat64> tensor, String memoryName) throws IOException
     {
     	long[] arrayShape = tensor.shape().asArray();
@@ -192,14 +157,6 @@ private static void buildFromTensorDouble(Tensor<TFloat64> tensor, String memory
         if (PlatformDetection.isWindows()) shma.close();
     }
 
-	/**
-	 * Builds a {@link RandomAccessibleInterval} from a unsigned int64-typed {@link TInt64} tensor.
-	 * 
-	 * @param tensor 
-	 * 	The {@link TInt64} tensor data is read from.
-	 * @return The {@link RandomAccessibleInterval} built from the tensor, of type {@link LongType}.
-	 * @throws IOException 
-	 */
     private static void buildFromTensorLong(Tensor<TInt64> tensor, String memoryName) throws IOException
     {
     	long[] arrayShape = tensor.shape().asArray();
diff --git a/src/main/java/io/bioimage/modelrunner/tensorflow/v2/api020/shm/TensorBuilder.java b/src/main/java/io/bioimage/modelrunner/tensorflow/v2/api020/shm/TensorBuilder.java
index 7b7e84b..9714139 100644
--- a/src/main/java/io/bioimage/modelrunner/tensorflow/v2/api020/shm/TensorBuilder.java
+++ b/src/main/java/io/bioimage/modelrunner/tensorflow/v2/api020/shm/TensorBuilder.java
@@ -55,10 +55,9 @@
 import org.tensorflow.types.family.TType;
 
 /**
- * A TensorFlow 2 {@link Tensor} builder from {@link Img} and
- * {@link io.bioimage.modelrunner.tensor.Tensor} objects.
+ * Utility class to build Tensorflow tensors from shm segments using {@link SharedMemoryArray}
  * 
- * @author Carlos Garcia Lopez de Haro and Daniel Felipe Gonzalez Obando
+ * @author Carlos Garcia Lopez de Haro
  */
 public final class TensorBuilder {
 
@@ -68,16 +67,13 @@ public final class TensorBuilder {
 	private TensorBuilder() {}
 
 	/**
-	 * Creates {@link TType} instance with the same size and information as the
-	 * given {@link RandomAccessibleInterval}.
+	 * Creates {@link Tensor} instance from a {@link SharedMemoryArray}
 	 * 
-	 * @param <T>
-	 * 	the ImgLib2 data types the {@link RandomAccessibleInterval} can be
 	 * @param array
-	 * 	the {@link RandomAccessibleInterval} that is going to be converted into
-	 *  a {@link TType} tensor
-	 * @return a {@link TType} tensor
-	 * @throws IllegalArgumentException if the type of the {@link RandomAccessibleInterval}
+	 * 	the {@link SharedMemoryArray} that is going to be converted into
+	 *  a {@link Tensor} tensor
+	 * @return the Tensorflow {@link Tensor} as the one stored in the shared memory segment
+	 * @throws IllegalArgumentException if the type of the {@link SharedMemoryArray}
 	 *  is not supported
 	 */
 	public static Tensor<? extends TType> build(SharedMemoryArray array) throws IllegalArgumentException
@@ -103,17 +99,7 @@ else if (array.getOriginalDataType().equals("int64")) {
 		}
 	}
 
-	/**
-	 * Creates a {@link TType} tensor of type {@link TUint8} from an
-	 * {@link RandomAccessibleInterval} of type {@link UnsignedByteType}
-	 * 
-	 * @param tensor 
-	 * 	The {@link RandomAccessibleInterval} to fill the tensor with.
-	 * @return The {@link TType} tensor filled with the {@link RandomAccessibleInterval} data.
-	 * @throws IllegalArgumentException if the input {@link RandomAccessibleInterval} type is
-	 * not compatible
-	 */
-	public static Tensor<TUint8> buildUByte(SharedMemoryArray tensor)
+	private static Tensor<TUint8> buildUByte(SharedMemoryArray tensor)
 		throws IllegalArgumentException
 	{
 		long[] ogShape = tensor.getOriginalShape();
@@ -128,17 +114,7 @@ public static Tensor<TUint8> buildUByte(SharedMemoryArray tensor)
 		return ndarray;
 	}
 
-	/**
-	 * Creates a {@link TInt32} tensor of type {@link TInt32} from an
-	 * {@link RandomAccessibleInterval} of type {@link IntType}
-	 * 
-	 * @param tensor 
-	 * 	The {@link RandomAccessibleInterval} to fill the tensor with.
-	 * @return The {@link TInt32} tensor filled with the {@link RandomAccessibleInterval} data.
-	 * @throws IllegalArgumentException if the input {@link RandomAccessibleInterval} type is
-	 * not compatible
-	 */
-	public static Tensor<TInt32> buildInt(SharedMemoryArray tensor)
+	private static Tensor<TInt32> buildInt(SharedMemoryArray tensor)
 		throws IllegalArgumentException
 	{
 		long[] ogShape = tensor.getOriginalShape();
@@ -156,16 +132,6 @@ public static Tensor<TInt32> buildInt(SharedMemoryArray tensor)
 		return ndarray;
 	}
 
-	/**
-	 * Creates a {@link TInt64} tensor of type {@link TInt64} from an
-	 * {@link RandomAccessibleInterval} of type {@link LongType}
-	 * 
-	 * @param tensor 
-	 * 	The {@link RandomAccessibleInterval} to fill the tensor with.
-	 * @return The {@link TInt64} tensor filled with the {@link RandomAccessibleInterval} data.
-	 * @throws IllegalArgumentException if the input {@link RandomAccessibleInterval} type is
-	 * not compatible
-	 */
 	private static Tensor<TInt64> buildLong(SharedMemoryArray tensor)
 		throws IllegalArgumentException
 	{
@@ -184,17 +150,7 @@ private static Tensor<TInt64> buildLong(SharedMemoryArray tensor)
 		return ndarray;
 	}
 
-	/**
-	 * Creates a {@link TFloat32} tensor of type {@link TFloat32} from an
-	 * {@link RandomAccessibleInterval} of type {@link FloatType}
-	 * 
-	 * @param tensor 
-	 * 	The {@link RandomAccessibleInterval} to fill the tensor with.
-	 * @return The {@link TFloat32} tensor filled with the {@link RandomAccessibleInterval} data.
-	 * @throws IllegalArgumentException if the input {@link RandomAccessibleInterval} type is
-	 * not compatible
-	 */
-	public static Tensor<TFloat32> buildFloat(SharedMemoryArray tensor)
+	private static Tensor<TFloat32> buildFloat(SharedMemoryArray tensor)
 		throws IllegalArgumentException
 	{
 		long[] ogShape = tensor.getOriginalShape();
@@ -212,16 +168,6 @@ public static Tensor<TFloat32> buildFloat(SharedMemoryArray tensor)
 		return ndarray;
 	}
 
-	/**
-	 * Creates a {@link TFloat64} tensor of type {@link TFloat64} from an
-	 * {@link RandomAccessibleInterval} of type {@link DoubleType}
-	 * 
-	 * @param tensor 
-	 * 	The {@link RandomAccessibleInterval} to fill the tensor with.
-	 * @return The {@link TFloat64} tensor filled with the {@link RandomAccessibleInterval} data.
-	 * @throws IllegalArgumentException if the input {@link RandomAccessibleInterval} type is
-	 * not compatible
-	 */
 	private static Tensor<TFloat64> buildDouble(SharedMemoryArray tensor)
 		throws IllegalArgumentException
 	{