diff --git a/ppdet/data/source/dataset.py b/ppdet/data/source/dataset.py
index b0d8726ed1dac7e6202840b404d8ce9694d80655..1bef548e696764964608ade67b373a1c19c84a96 100644
--- a/ppdet/data/source/dataset.py
+++ b/ppdet/data/source/dataset.py
@@ -149,7 +149,12 @@ class ImageFolder(DetDataset):
         self.sample_num = sample_num
 
     def check_or_download_dataset(self):
-        return
+        if self.dataset_dir:
+            # NOTE: ImageFolder is only used for prediction, in
+            #       infer mode, image_dir is set by set_images
+            #       so we only check anno_path here
+            self.dataset_dir = get_dataset_path(self.dataset_dir,
+                                                self.anno_path, None)
 
     def parse_dataset(self, ):
         if not self.roidbs:
diff --git a/ppdet/utils/download.py b/ppdet/utils/download.py
index db0bdd64752187900ba46663ec66a249d79c3814..0900a935782751f02eda9c1ae5690d3932b2e6fc 100644
--- a/ppdet/utils/download.py
+++ b/ppdet/utils/download.py
@@ -195,6 +195,10 @@ def get_dataset_path(path, annotation, image_dir):
                         "Please apply and download the dataset following docs/tutorials/PrepareMOTDataSet.md".
                         format(name))
 
+            if name == "spine_coco":
+                if _dataset_exists(data_dir, annotation, image_dir):
+                    return data_dir
+
             # For voc, only check dir VOCdevkit/VOC2012, VOCdevkit/VOC2007
             if name in ['voc', 'fruit', 'roadsign_voc']:
                 exists = True