diff --git a/models.py b/models.py
index 44904203..6183dbfc 100755
--- a/models.py
+++ b/models.py
@@ -266,8 +266,12 @@ class Darknet(nn.Module):
         return sum(output) if is_training else torch.cat(output, 1)
 
 
-def load_weights(self, weights_path):
-    """Parses and loads the weights stored in 'weights_path'"""
+def load_weights(self, weights_path, cutoff=-1):
+    # Parses and loads the weights stored in 'weights_path'
+    # @:param cutoff  - save layers between 0 and cutoff (cutoff = -1 -> all are saved)
+
+    if weights_path.endswith('darknet53.conv.74'):
+        cutoff = 75
 
     # Open the weights file
     fp = open(weights_path, 'rb')
@@ -281,7 +285,7 @@ def load_weights(self, weights_path):
     fp.close()
 
     ptr = 0
-    for i, (module_def, module) in enumerate(zip(self.module_defs, self.module_list)):
+    for i, (module_def, module) in enumerate(zip(self.module_defs[:cutoff], self.module_list[:cutoff])):
         if module_def['type'] == 'convolutional':
             conv_layer = module[0]
             if module_def['batch_normalize']:
diff --git a/train.py b/train.py
index a1d8f7d1..fe9f56e1 100644
--- a/train.py
+++ b/train.py
@@ -73,6 +73,8 @@ def main(opt):
 
         del checkpoint  # current, saved
     else:
+        load_weights(model, 'weights/darknet53.conv.74')  # load darknet53 weights (optional)
+
         if torch.cuda.device_count() > 1:
             print('Using ', torch.cuda.device_count(), ' GPUs')
             model = nn.DataParallel(model)
diff --git a/utils/datasets.py b/utils/datasets.py
index 0ecdfa5e..37982fbf 100755
--- a/utils/datasets.py
+++ b/utils/datasets.py
@@ -67,7 +67,7 @@ class load_images_and_labels():  # for training
             self.img_files = file.readlines()
 
         if platform == 'darwin':  # MacOS (local)
-            self.img_files = [path.replace('\n', '').replace('/images', '/Users/glennjocher/Downloads/DATA/coco/images')
+            self.img_files = [path.replace('\n', '').replace('/images', '/Users/glennjocher/Downloads/data/coco/images')
                               for path in self.img_files]
         else:  # linux (gcp cloud)
             self.img_files = [path.replace('\n', '').replace('/images', '../coco/images') for path in self.img_files]
diff --git a/weights/download_yolov3_weights.sh b/weights/download_yolov3_weights.sh
index c46580c5..aadcb453 100644
--- a/weights/download_yolov3_weights.sh
+++ b/weights/download_yolov3_weights.sh
@@ -1,4 +1,5 @@
 #!/bin/bash
 
+wget https://pjreddie.com/media/files/darknet53.conv.74
 wget https://pjreddie.com/media/files/yolov3.weights
 wget https://storage.googleapis.com/ultralytics/yolov3.pt