diff --git a/voc-fcn-alexnet/net.py b/voc-fcn-alexnet/net.py
index e8fd3a32f8158504a66e9cc99128568fd6d22f48..e0ad9da5c4e90147b212d00b0403de5c7fc03364 100644
--- a/voc-fcn-alexnet/net.py
+++ b/voc-fcn-alexnet/net.py
@@ -18,12 +18,12 @@ def fcn(split):
     pydata_params = dict(split=split, mean=(104.00699, 116.66877, 122.67892),
             seed=1337)
     if split == 'train':
-        pydata_params['sbdd_dir'] = '../../data/sbdd/dataset'
+        pydata_params['sbdd_dir'] = '../data/sbdd/dataset'
         pylayer = 'SBDDSegDataLayer'
     else:
-        pydata_params['voc_dir'] = '../../data/pascal/VOC2011'
+        pydata_params['voc_dir'] = '../data/pascal/VOC2011'
         pylayer = 'VOCSegDataLayer'
-    n.data, n.label = L.Python(module='layers', layer=pylayer,
+    n.data, n.label = L.Python(module='voc_layers', layer=pylayer,
             ntop=2, param_str=str(pydata_params))
 
     # the base net
diff --git a/voc-fcn-alexnet/train.prototxt b/voc-fcn-alexnet/train.prototxt
index b12b608e7a34166516eb9830c4b8360207a38eb2..5840d2a69563a30ce6369f7a39e7fa1efc5d8e57 100644
--- a/voc-fcn-alexnet/train.prototxt
+++ b/voc-fcn-alexnet/train.prototxt
@@ -6,7 +6,7 @@ layer {
   python_param {
     module: "voc_layers"
     layer: "SBDDSegDataLayer"
-    param_str: "{\'sbdd_dir\': \'../../data/sbdd/dataset\', \'seed\': 1337, \'split\': \'train\', \'mean\': (104.00699, 116.66877, 122.67892)}"
+    param_str: "{\'sbdd_dir\': \'../data/sbdd/dataset\', \'seed\': 1337, \'split\': \'train\', \'mean\': (104.00699, 116.66877, 122.67892)}"
   }
 }
 layer {
diff --git a/voc-fcn-alexnet/val.prototxt b/voc-fcn-alexnet/val.prototxt
index 1d264d2cf3dca563ce0d5e6627ea2ebb213f66fa..eee644d9f543849da5150bbae559327ea70c97be 100644
--- a/voc-fcn-alexnet/val.prototxt
+++ b/voc-fcn-alexnet/val.prototxt
@@ -6,7 +6,7 @@ layer {
   python_param {
     module: "voc_layers"
     layer: "VOCSegDataLayer"
-    param_str: "{\'voc_dir\': \'../../data/pascal/VOC2011\', \'seed\': 1337, \'split\': \'seg11valid\', \'mean\': (104.00699, 116.66877, 122.67892)}"
+    param_str: "{\'voc_dir\': \'../data/pascal/VOC2011\', \'seed\': 1337, \'split\': \'seg11valid\', \'mean\': (104.00699, 116.66877, 122.67892)}"
   }
 }
 layer {
diff --git a/voc-fcn16s/train.prototxt b/voc-fcn16s/train.prototxt
index c6e175f896d415fc9a466d77bf07e9ea39ccb58f..ea3b4e6465029e45aa9228153fcadba7ddda9a18 100644
--- a/voc-fcn16s/train.prototxt
+++ b/voc-fcn16s/train.prototxt
@@ -428,6 +428,15 @@ layer {
   bottom: "fc6"
   top: "fc6"
 }
+layer {
+  name: "drop6"
+  type: "Dropout"
+  bottom: "fc6"
+  top: "fc6"
+  dropout_param {
+    dropout_ratio: 0.5
+  }
+}
 layer {
   name: "fc7"
   type: "Convolution"
@@ -454,6 +463,15 @@ layer {
   bottom: "fc7"
   top: "fc7"
 }
+layer {
+  name: "drop7"
+  type: "Dropout"
+  bottom: "fc7"
+  top: "fc7"
+  dropout_param {
+    dropout_ratio: 0.5
+  }
+}
 layer {
   name: "score_fr"
   type: "Convolution"
diff --git a/voc-fcn16s/val.prototxt b/voc-fcn16s/val.prototxt
index 13d96a92f25705fb74f68d246554f46ed1ddda30..b7827a969940ab93e5767a84fb12ccba921ce449 100644
--- a/voc-fcn16s/val.prototxt
+++ b/voc-fcn16s/val.prototxt
@@ -428,6 +428,15 @@ layer {
   bottom: "fc6"
   top: "fc6"
 }
+layer {
+  name: "drop6"
+  type: "Dropout"
+  bottom: "fc6"
+  top: "fc6"
+  dropout_param {
+    dropout_ratio: 0.5
+  }
+}
 layer {
   name: "fc7"
   type: "Convolution"
@@ -454,6 +463,15 @@ layer {
   bottom: "fc7"
   top: "fc7"
 }
+layer {
+  name: "drop7"
+  type: "Dropout"
+  bottom: "fc7"
+  top: "fc7"
+  dropout_param {
+    dropout_ratio: 0.5
+  }
+}
 layer {
   name: "score_fr"
   type: "Convolution"
diff --git a/voc-fcn32s/net.py b/voc-fcn32s/net.py
index df9e524b49977e57142585e8598b83471adc51a6..634e11ffbfd0f00af9ba962dbc276e90eb340992 100644
--- a/voc-fcn32s/net.py
+++ b/voc-fcn32s/net.py
@@ -16,10 +16,10 @@ def fcn(split):
     pydata_params = dict(split=split, mean=(104.00699, 116.66877, 122.67892),
             seed=1337)
     if split == 'train':
-        pydata_params['sbdd_dir'] = '../../data/sbdd/dataset'
+        pydata_params['sbdd_dir'] = '../data/sbdd/dataset'
         pylayer = 'SBDDSegDataLayer'
     else:
-        pydata_params['voc_dir'] = '../../data/pascal/VOC2011'
+        pydata_params['voc_dir'] = '../data/pascal/VOC2011'
         pylayer = 'VOCSegDataLayer'
     n.data, n.label = L.Python(module='voc_layers', layer=pylayer,
             ntop=2, param_str=str(pydata_params))
diff --git a/voc-fcn32s/train.prototxt b/voc-fcn32s/train.prototxt
index dcd1992b77716ac89eee47a1a8da13843dbc57c9..6ef56e615fd78d22720cb2898184c2f3af5b2ab8 100644
--- a/voc-fcn32s/train.prototxt
+++ b/voc-fcn32s/train.prototxt
@@ -6,7 +6,7 @@ layer {
   python_param {
     module: "voc_layers"
     layer: "SBDDSegDataLayer"
-    param_str: "{\'sbdd_dir\': \'../../data/sbdd/dataset\', \'seed\': 1337, \'split\': \'train\', \'mean\': (104.00699, 116.66877, 122.67892)}"
+    param_str: "{\'sbdd_dir\': \'../data/sbdd/dataset\', \'seed\': 1337, \'split\': \'train\', \'mean\': (104.00699, 116.66877, 122.67892)}"
   }
 }
 layer {
@@ -428,6 +428,15 @@ layer {
   bottom: "fc6"
   top: "fc6"
 }
+layer {
+  name: "drop6"
+  type: "Dropout"
+  bottom: "fc6"
+  top: "fc6"
+  dropout_param {
+    dropout_ratio: 0.5
+  }
+}
 layer {
   name: "fc7"
   type: "Convolution"
@@ -454,6 +463,15 @@ layer {
   bottom: "fc7"
   top: "fc7"
 }
+layer {
+  name: "drop7"
+  type: "Dropout"
+  bottom: "fc7"
+  top: "fc7"
+  dropout_param {
+    dropout_ratio: 0.5
+  }
+}
 layer {
   name: "score_fr"
   type: "Convolution"
diff --git a/voc-fcn32s/val.prototxt b/voc-fcn32s/val.prototxt
index e15cf304c538ef0c84714bc28ea2778fe8c13b28..1989f464e7f210b155c16c5857e598548835bf77 100644
--- a/voc-fcn32s/val.prototxt
+++ b/voc-fcn32s/val.prototxt
@@ -6,7 +6,7 @@ layer {
   python_param {
     module: "voc_layers"
     layer: "VOCSegDataLayer"
-    param_str: "{\'voc_dir\': \'../../data/pascal/VOC2011\', \'seed\': 1337, \'split\': \'seg11valid\', \'mean\': (104.00699, 116.66877, 122.67892)}"
+    param_str: "{\'voc_dir\': \'../data/pascal/VOC2011\', \'seed\': 1337, \'split\': \'seg11valid\', \'mean\': (104.00699, 116.66877, 122.67892)}"
   }
 }
 layer {
@@ -428,6 +428,15 @@ layer {
   bottom: "fc6"
   top: "fc6"
 }
+layer {
+  name: "drop6"
+  type: "Dropout"
+  bottom: "fc6"
+  top: "fc6"
+  dropout_param {
+    dropout_ratio: 0.5
+  }
+}
 layer {
   name: "fc7"
   type: "Convolution"
@@ -454,6 +463,15 @@ layer {
   bottom: "fc7"
   top: "fc7"
 }
+layer {
+  name: "drop7"
+  type: "Dropout"
+  bottom: "fc7"
+  top: "fc7"
+  dropout_param {
+    dropout_ratio: 0.5
+  }
+}
 layer {
   name: "score_fr"
   type: "Convolution"
diff --git a/voc-fcn8s-atonce/net.py b/voc-fcn8s-atonce/net.py
index 67694caeec6c8ea200377bfc01986fe2c6d60f20..f94d4801f8e9da677ad718fd0d11e5f6710c5ce5 100644
--- a/voc-fcn8s-atonce/net.py
+++ b/voc-fcn8s-atonce/net.py
@@ -16,10 +16,10 @@ def fcn(split):
     pydata_params = dict(split=split, mean=(104.00699, 116.66877, 122.67892),
             seed=1337)
     if split == 'train':
-        pydata_params['sbdd_dir'] = '../../data/sbdd/dataset'
+        pydata_params['sbdd_dir'] = '../data/sbdd/dataset'
         pylayer = 'SBDDSegDataLayer'
     else:
-        pydata_params['voc_dir'] = '../../data/pascal/VOC2011'
+        pydata_params['voc_dir'] = '../data/pascal/VOC2011'
         pylayer = 'VOCSegDataLayer'
     n.data, n.label = L.Python(module='voc_layers', layer=pylayer,
             ntop=2, param_str=str(pydata_params))
diff --git a/voc-fcn8s-atonce/train.prototxt b/voc-fcn8s-atonce/train.prototxt
index 8e14dc05ff3d39a8ca7e51d09cb2c6b6901e111e..b9fd222b44393c0f4395a9256bd37380cdbf02a4 100644
--- a/voc-fcn8s-atonce/train.prototxt
+++ b/voc-fcn8s-atonce/train.prototxt
@@ -6,7 +6,7 @@ layer {
   python_param {
     module: "voc_layers"
     layer: "SBDDSegDataLayer"
-    param_str: "{\'sbdd_dir\': \'../../data/sbdd/dataset\', \'seed\': 1337, \'split\': \'train\', \'mean\': (104.00699, 116.66877, 122.67892)}"
+    param_str: "{\'sbdd_dir\': \'../data/sbdd/dataset\', \'seed\': 1337, \'split\': \'train\', \'mean\': (104.00699, 116.66877, 122.67892)}"
   }
 }
 layer {
diff --git a/voc-fcn8s-atonce/val.prototxt b/voc-fcn8s-atonce/val.prototxt
index 7a5e38fdbf4760ddd17e330d81011a1661bf0454..6a6a068a74de5e6383e974af948673626842b131 100644
--- a/voc-fcn8s-atonce/val.prototxt
+++ b/voc-fcn8s-atonce/val.prototxt
@@ -6,7 +6,7 @@ layer {
   python_param {
     module: "voc_layers"
     layer: "VOCSegDataLayer"
-    param_str: "{\'voc_dir\': \'../../data/pascal/VOC2011\', \'seed\': 1337, \'split\': \'seg11valid\', \'mean\': (104.00699, 116.66877, 122.67892)}"
+    param_str: "{\'voc_dir\': \'../data/pascal/VOC2011\', \'seed\': 1337, \'split\': \'seg11valid\', \'mean\': (104.00699, 116.66877, 122.67892)}"
   }
 }
 layer {
diff --git a/voc-fcn8s/net.py b/voc-fcn8s/net.py
index 913c808b1292bfc7be577b49792a5f3071d0dcf3..8151fb06befe55ba33084bbd0b9e450ae7cdbac4 100644
--- a/voc-fcn8s/net.py
+++ b/voc-fcn8s/net.py
@@ -16,10 +16,10 @@ def fcn(split):
     pydata_params = dict(split=split, mean=(104.00699, 116.66877, 122.67892),
             seed=1337)
     if split == 'train':
-        pydata_params['sbdd_dir'] = '../../data/sbdd/dataset'
+        pydata_params['sbdd_dir'] = '../data/sbdd/dataset'
         pylayer = 'SBDDSegDataLayer'
     else:
-        pydata_params['voc_dir'] = '../../data/pascal/VOC2011'
+        pydata_params['voc_dir'] = '../data/pascal/VOC2011'
         pylayer = 'VOCSegDataLayer'
     n.data, n.label = L.Python(module='voc_layers', layer=pylayer,
             ntop=2, param_str=str(pydata_params))
diff --git a/voc-fcn8s/train.prototxt b/voc-fcn8s/train.prototxt
index b17e2253d0d028f5f0d896c6b32783c0695c1e28..f162124e6060619bee3c84481e8f711d84ddb910 100644
--- a/voc-fcn8s/train.prototxt
+++ b/voc-fcn8s/train.prototxt
@@ -6,7 +6,7 @@ layer {
   python_param {
     module: "voc_layers"
     layer: "SBDDSegDataLayer"
-    param_str: "{\'sbdd_dir\': \'../../data/sbdd/dataset\', \'seed\': 1337, \'split\': \'train\', \'mean\': (104.00699, 116.66877, 122.67892)}"
+    param_str: "{\'sbdd_dir\': \'../data/sbdd/dataset\', \'seed\': 1337, \'split\': \'train\', \'mean\': (104.00699, 116.66877, 122.67892)}"
   }
 }
 layer {
@@ -428,6 +428,15 @@ layer {
   bottom: "fc6"
   top: "fc6"
 }
+layer {
+  name: "drop6"
+  type: "Dropout"
+  bottom: "fc6"
+  top: "fc6"
+  dropout_param {
+    dropout_ratio: 0.5
+  }
+}
 layer {
   name: "fc7"
   type: "Convolution"
@@ -454,6 +463,15 @@ layer {
   bottom: "fc7"
   top: "fc7"
 }
+layer {
+  name: "drop7"
+  type: "Dropout"
+  bottom: "fc7"
+  top: "fc7"
+  dropout_param {
+    dropout_ratio: 0.5
+  }
+}
 layer {
   name: "score_fr"
   type: "Convolution"
diff --git a/voc-fcn8s/val.prototxt b/voc-fcn8s/val.prototxt
index 9c824ecd0412586487de29ce24d27f67a8cc97d1..4d35da9199d1074c093b0211ddfe6f506f626b0a 100644
--- a/voc-fcn8s/val.prototxt
+++ b/voc-fcn8s/val.prototxt
@@ -6,7 +6,7 @@ layer {
   python_param {
     module: "voc_layers"
     layer: "VOCSegDataLayer"
-    param_str: "{\'voc_dir\': \'../../data/pascal/VOC2011\', \'seed\': 1337, \'split\': \'seg11valid\', \'mean\': (104.00699, 116.66877, 122.67892)}"
+    param_str: "{\'voc_dir\': \'../data/pascal/VOC2011\', \'seed\': 1337, \'split\': \'seg11valid\', \'mean\': (104.00699, 116.66877, 122.67892)}"
   }
 }
 layer {
@@ -428,6 +428,15 @@ layer {
   bottom: "fc6"
   top: "fc6"
 }
+layer {
+  name: "drop6"
+  type: "Dropout"
+  bottom: "fc6"
+  top: "fc6"
+  dropout_param {
+    dropout_ratio: 0.5
+  }
+}
 layer {
   name: "fc7"
   type: "Convolution"
@@ -454,6 +463,15 @@ layer {
   bottom: "fc7"
   top: "fc7"
 }
+layer {
+  name: "drop7"
+  type: "Dropout"
+  bottom: "fc7"
+  top: "fc7"
+  dropout_param {
+    dropout_ratio: 0.5
+  }
+}
 layer {
   name: "score_fr"
   type: "Convolution"