diff --git a/data/pascal/README.md b/data/pascal/README.md
new file mode 100644
index 000000000..40151942b
--- /dev/null
+++ b/data/pascal/README.md
@@ -0,0 +1,21 @@
+# PASCAL VOC and SBD
+
+PASCAL VOC is a standard recognition dataset and benchmark with detection and semantic segmentation challenges.
+The Semantic Boundary Dataset (SBD) is a further annotation of the PASCAL VOC data that provides more semantic segmentation and instance segmentation masks.
+
+PASCAL VOC has a private test set and [leaderboard for semantic segmentation](http://host.robots.ox.ac.uk:8080/leaderboard/displaylb.php?challengeid=11&compid=6).
+
+The train/val/test splits of PASCAL VOC segmentation challenge and SBD diverge.
+Most notably VOC 2011 segval intersects with SBD train.
+Care must be taken for proper evaluation by excluding images from the train or val splits.
+
+We train on the 8,498 images of SBD train.
+We validate on the non-intersecting set defined in the included `seg11valid.txt`.
+
+Refer to `classes.txt` for the listing of classes in model output order.
+Refer to `../voc_layers.py` for the Python data layer for this dataset.
+
+See the dataset sites for download:
+
+- PASCAL VOC 2012: http://host.robots.ox.ac.uk/pascal/VOC/voc2012/
+- SBD: http://www.cs.berkeley.edu/~bharath2/codes/SBD/download.html
diff --git a/data/pascal/classes.txt b/data/pascal/classes.txt
new file mode 100644
index 000000000..00838d4c6
--- /dev/null
+++ b/data/pascal/classes.txt
@@ -0,0 +1,24 @@
+background
+aeroplane
+bicycle
+bird
+boat
+bottle
+bus
+car
+cat
+chair
+cow
+diningtable
+dog
+horse
+motorbike
+person
+pottedplant
+sheep
+sofa
+train
+tvmonitor
+
+and 255 is the ignore label that marks pixels excluded from learning and
+evaluation by the PASCAL VOC ground truth.
diff --git a/data/seg11valid.txt b/data/pascal/seg11valid.txt
similarity index 100%
rename from data/seg11valid.txt
rename to data/pascal/seg11valid.txt
diff --git a/voc-fcn16s/net.py b/voc-fcn16s/net.py
index e6f3364eb..05944c7f6 100644
--- a/voc-fcn16s/net.py
+++ b/voc-fcn16s/net.py
@@ -21,7 +21,7 @@ def fcn(split):
     else:
         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-fcn32s/net.py b/voc-fcn32s/net.py
index 842d87b90..df9e524b4 100644
--- a/voc-fcn32s/net.py
+++ b/voc-fcn32s/net.py
@@ -21,7 +21,7 @@ def fcn(split):
     else:
         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-fcn8s/net.py b/voc-fcn8s/net.py
index 23d75f2a0..913c808b1 100644
--- a/voc-fcn8s/net.py
+++ b/voc-fcn8s/net.py
@@ -21,7 +21,7 @@ def fcn(split):
     else:
         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/layers.py b/voc_layers.py
similarity index 100%
rename from layers.py
rename to voc_layers.py