Update README.md

README.md

@@ -12,7 +12,7 @@ license: mit
 
 ### Model Description
 
-This model is designed to be integrated into 3D printing monitoring systems to automatically detect and classify common print failures from a video feed or series of images. By identifying these issues early, it can help users save time and material by stopping failed prints.
+This high accuracy model is designed to be integrated into 3D printing monitoring systems to automatically detect and classify common print failures from a video feed or series of images. By identifying these issues early, it can help users save time and material by stopping failed prints.
 
 * **Spaghetti:** Occurs when the printed material fails to adhere to the build plate or previous layers, resulting in a tangled mess of filament resembling spaghetti.
 * **Stringing:** Fine, hair-like strands of plastic are left between different parts of a printed object.
@@ -23,6 +23,7 @@ The model was trained on a custom dataset of over 9,000 images of 3D prints. The
 
 ### Training Procedure
 Model: YOLOv11s
+Library: Ultralytics
 Epochs: 400
 Image Size: 640x640