Update ai4-metadata.yml

ai4-metadata.yml

@@ -15,13 +15,13 @@ description: |-
   example, if you input an image containing both a cat and a dog, and the model predicts a 50% probability for the dog and 80% for
   the cat, setting the threshold to 70% will result in only the cat being detected, as its probability exceeds 70%.
   The same PREDICT method is also used for semantic segmentation and classification, where the output includes segmented objects
-   in the image or video, or the classification of objects, respectively. The following demonstrates the outputs for classification, detection, and segmentation tasks.
+  in the image or video, or the classification of objects, respectively. The following demonstrates the outputs for classification detection, and segmentation tasks.
  
-   <img class='fit', src='https://raw.githubusercontent.com/ai4os-hub/ai4os-yolov8-torch/main/tests/data/det/catin_cls.png'/>
+  <img class='fit', src='https://raw.githubusercontent.com/ai4os-hub/ai4os-yolov8-torch/main/tests/data/det/catin_cls.png'/>
    
-   <img class='fit', src='https://raw.githubusercontent.com/ai4os-hub/ai4os-yolov8-torch/main/tests/data/det/catindet.png'/>
+  <img class='fit', src='https://raw.githubusercontent.com/ai4os-hub/ai4os-yolov8-torch/main/tests/data/det/catindet.png'/>
    
-   <img class='fit', src='https://raw.githubusercontent.com/ai4os-hub/ai4os-yolov8-torch/main/tests/data/det/catin_seg.png'/>
+  <img class='fit', src='https://raw.githubusercontent.com/ai4os-hub/ai4os-yolov8-torch/main/tests/data/det/catin_seg.png'/>
   
   You can use this model to retrain it on your custom dataset. For this purpose, please refer to the README to learn how to
    structure your dataset for different tasks. After preparing the dataset, you can adjust hyperparameters, such as the learning