refactor: images load

README.md

@@ -19,10 +19,10 @@ dataset_info:
     dtype: string
   splits:
   - name: train
-    num_bytes: 520820752
+    num_bytes: 520855405
     num_examples: 15
   download_size: 129578665
-  dataset_size: 520820752
+  dataset_size: 520855405
 ---
 # Facial Keypoints
 The dataset is designed for computer vision and machine learning tasks involving the identification and analysis of key points on a human face. It consists of images of human faces, each accompanied by key point annotations in XML format.

facial_keypoint_detection.py

@@ -83,7 +83,7 @@ def load_image_file(file, mode='RGB'):
 
     img = img.convert(mode)
 
-    return np.array(img)
+    return img
 
 
 class FacialKeypointDetection(datasets.GeneratorBasedBuilder):