diff --git a/nerfactory/configs/base.py b/nerfactory/configs/base.py
index 3986547ea..01f2db4e5 100644
--- a/nerfactory/configs/base.py
+++ b/nerfactory/configs/base.py
@@ -31,6 +31,7 @@ from nerfactory.dataloaders.data_parsers import (
     Friends,
     InstantNGP,
     Mipnerf360,
+    Record3D,
 )
 from nerfactory.models.base import Model
 from nerfactory.models.instant_ngp import NGPModel
@@ -214,7 +215,7 @@ class InstantNGPDataParserConfig(DataParserConfig):
 class Record3DDataParserConfig(DataParserConfig):
     """Mipnerf 360 dataset config"""
 
-    _target: Type = Mipnerf360
+    _target: Type = Record3D
     data_directory: Path = Path("data/record3d/garden")
     downscale_factor: int = 1
     val_skip: int = 8
@@ -385,6 +386,7 @@ class Config(PrintableConfig):
         """Convert logging directories to more specific filepaths"""
         dt_str = datetime.now().strftime("%Y-%m-%d_%H%M%S")
         self.base_dir = Path(f"outputs/{self.experiment_name}/{self.method_name}/{dt_str}")
-        self.trainer.model_dir = self.base_dir / self.trainer.relative_model_dir
+        if self.trainer.model_dir is None:
+            self.trainer.model_dir = self.base_dir / self.trainer.relative_model_dir
         for curr_writer in self.logging.writer:
             curr_writer.log_dir = self.base_dir / curr_writer.relative_log_dir
diff --git a/nerfactory/dataloaders/data_parsers.py b/nerfactory/dataloaders/data_parsers.py
index 4b33432ae..139ba8cef 100644
--- a/nerfactory/dataloaders/data_parsers.py
+++ b/nerfactory/dataloaders/data_parsers.py
@@ -434,11 +434,12 @@ class Record3D(DataParser):
         if not image_dir.exists():
             raise ValueError(f"Image directory {image_dir} doesn't exist")
 
-        ext = ".jpg"
         image_filenames = []
         for f in image_dir.iterdir():
-            image_filenames.append(image_dir / f)
-        image_filenames = sorted(image_filenames, key=lambda fn: int(fn.name[: -len(ext)]))
+            if f.stem.isdigit():  # removes possible duplicate images (for example, 123(3).jpg)
+                image_filenames.append(image_dir / f)
+
+        image_filenames = sorted(image_filenames, key=lambda fn: int(fn.stem))
         image_filenames = np.array(image_filenames)
         num_images = len(image_filenames)