diff --git a/ultralytics/__init__.py b/ultralytics/__init__.py
index fe22ab07a..7b73169de 100644
--- a/ultralytics/__init__.py
+++ b/ultralytics/__init__.py
@@ -1,6 +1,6 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 license
 
-__version__ = "8.3.38"
+__version__ = "8.3.39"
 
 import os
 
diff --git a/ultralytics/models/yolo/classify/predict.py b/ultralytics/models/yolo/classify/predict.py
index 596931a17..b75a19498 100644
--- a/ultralytics/models/yolo/classify/predict.py
+++ b/ultralytics/models/yolo/classify/predict.py
@@ -54,6 +54,6 @@ class ClassificationPredictor(BasePredictor):
             orig_imgs = ops.convert_torch2numpy_batch(orig_imgs)
 
         return [
-            Results(orig_img, path=img_path, names=self.model.names, probs=pred)
+            Results(orig_img, path=img_path, names=self.model.names, probs=pred.softmax(0))
             for pred, orig_img, img_path in zip(preds, orig_imgs, self.batch[0])
         ]
diff --git a/ultralytics/nn/modules/head.py b/ultralytics/nn/modules/head.py
index 29a1953e4..25964ac2e 100644
--- a/ultralytics/nn/modules/head.py
+++ b/ultralytics/nn/modules/head.py
@@ -296,7 +296,7 @@ class Classify(nn.Module):
         if isinstance(x, list):
             x = torch.cat(x, 1)
         x = self.linear(self.drop(self.pool(self.conv(x)).flatten(1)))
-        return x if self.training else x.softmax(1)
+        return x
 
 
 class WorldDetect(Detect):