diff --git a/data_manager.py b/data_manager.py
index 67e90ab..b62be86 100755
--- a/data_manager.py
+++ b/data_manager.py
@@ -114,7 +114,7 @@ class CUHK03(object):
     # identities: 1360
     # images: 13164
     # cameras: 6
-    # splits: 20
+    # splits: 20 (classic)
 
     Args:
         split_id (int): split index (default: 0)
@@ -369,13 +369,76 @@ class DukeMTMCreID(object):
     URL: https://github.com/layumi/DukeMTMC-reID_evaluation
     
     Dataset statistics:
-    # identities:
-    # images:
-    # cameras:
-    # splits:
+    # identities: 1404 (train + query)
+    # images:16522 (train) + 2228 (query) + 17661 (gallery)
+    # cameras: 8
     """
+    root = './data/dukemtmc-reid'
+    train_dir = osp.join(root, 'DukeMTMC-reID/bounding_box_train')
+    query_dir = osp.join(root, 'DukeMTMC-reID/query')
+    gallery_dir = osp.join(root, 'DukeMTMC-reID/bounding_box_test')
+
     def __init__(self):
-        pass
+        self._check_before_run()
+
+        train, num_train_pids, num_train_imgs = self._process_dir(self.train_dir, relabel=True)
+        query, num_query_pids, num_query_imgs = self._process_dir(self.query_dir, relabel=False)
+        gallery, num_gallery_pids, num_gallery_imgs = self._process_dir(self.gallery_dir, relabel=False)
+        num_total_pids = num_train_pids + num_query_pids
+        num_total_imgs = num_train_imgs + num_query_imgs + num_gallery_imgs
+
+        print("=> DukeMTMC-reID loaded")
+        print("Dataset statistics:")
+        print("  ------------------------------")
+        print("  subset   | # ids | # images")
+        print("  ------------------------------")
+        print("  train    | {:5d} | {:8d}".format(num_train_pids, num_train_imgs))
+        print("  query    | {:5d} | {:8d}".format(num_query_pids, num_query_imgs))
+        print("  gallery  | {:5d} | {:8d}".format(num_gallery_pids, num_gallery_imgs))
+        print("  ------------------------------")
+        print("  total    | {:5d} | {:8d}".format(num_total_pids, num_total_imgs))
+        print("  ------------------------------")
+
+        self.train = train
+        self.query = query
+        self.gallery = gallery
+
+        self.num_train_pids = num_train_pids
+        self.num_query_pids = num_query_pids
+        self.num_gallery_pids = num_gallery_pids
+
+    def _check_before_run(self):
+        """Check if all files are available before going deeper"""
+        if not osp.exists(self.root):
+            raise RuntimeError("'{}' is not available".format(self.root))
+        if not osp.exists(self.train_dir):
+            raise RuntimeError("'{}' is not available".format(self.train_dir))
+        if not osp.exists(self.query_dir):
+            raise RuntimeError("'{}' is not available".format(self.query_dir))
+        if not osp.exists(self.gallery_dir):
+            raise RuntimeError("'{}' is not available".format(self.gallery_dir))
+
+    def _process_dir(self, dir_path, relabel=False):
+        img_paths = glob.glob(osp.join(dir_path, '*.jpg'))
+        pattern = re.compile(r'([-\d]+)_c(\d)')
+
+        pid_container = set()
+        for img_path in img_paths:
+            pid, _ = map(int, pattern.search(img_path).groups())
+            pid_container.add(pid)
+        pid2label = {pid:label for label, pid in enumerate(pid_container)}
+
+        dataset = []
+        for img_path in img_paths:
+            pid, camid = map(int, pattern.search(img_path).groups())
+            assert 1 <= camid <= 8
+            camid -= 1 # index starts from 0
+            if relabel: pid = pid2label[pid]
+            dataset.append((img_path, pid, camid))
+
+        num_pids = len(pid_container)
+        num_imgs = len(dataset)
+        return dataset, num_pids, num_imgs
 
 """Video ReID"""
 
@@ -794,6 +857,7 @@ class PRID(object):
 __factory = {
     'market1501': Market1501,
     'cuhk03': CUHK03,
+    'dukemtmcreid': DukeMTMCreID,
     'mars': Mars,
     'ilidsvid': iLIDSVID,
     'prid': PRID,