ZeBROD: Zero-Retraining Based Recognition and Object Detection Framework
ZeBROD is a system that detects products and identifies them without needing to retrain a model when new products are added. It separates object detection from recognition, using YOLO11n for localization and DeIT features stored in a Qdrant database for identification. This allows new items to be onboarded instantly without costly retraining.