A manually annotated dataset for detecting price tags on retail shelves, collected and labeled entirely by hand.
This dataset contains images of retail shelves with bounding box annotations for price tags. It is suitable for training and evaluating object detection models, such as YOLO-based detectors and trackers.
Use cases:
Price tag detection on store shelves
Real-time price tag tracking (e.g., with YOLO + ByteTrack /… See the full description on the dataset page:
https://huggingface.co/datasets/D-Shatnev/price-tag-detection.