Update README.md

README.md

@@ -133,6 +133,6 @@ This ResNet50-based garbage classification model shows promising performance for
 Further details and the code for this model can be found in the experiment tracking system. 
 
 ## Potential Improvements
-- Real-world data collection (preferably of items in poor or trash-like conditions) to reduce bias.
+- Real-world data collection (also preferably from items in poor or trash-like conditions) is necessary to reduce bias, as trash banks and recycling centers encourage people to separate used items into those that are reusable and those that are not suitable for use.
 - More data augmentation to handle edge cases like occluded or partially damaged garbage items.
 - Deploying the model in edge devices for real-time classification at waste management facilities.