Wine Bottle Detection Object Detection Dataset and Pre-Trained Model by Final Year Project

Images

1000 images

Explore Dataset

Here are a few use cases for this project:

Wine Sorting in a Warehouse: A logistics company might need to quickly identify and sort various classes of wine bottles in their warehouse. Using the wine bottle detection model, they could automate this process and significantly speed up their operations.
Smart Retail Applications: Retail stores, especially liquor stores, could implement this computer vision model to track inventory levels on their shelves and alert staff when it's time to restock. It can also be used for customer interaction, providing information about the wine when a customer points their phone camera at a wine bottle.
Wine-recognition App Development: An application could leverage this model to help users identify and learn more about different bottles of wine. Through this app, users might also find pairing suggestions, taste profiles, or even the history of the wine.
Recycling Centers: Recycling facilities could use this model to automatically sort glass by the type of bottle - in this case, specifically isolating wine bottles for proper recycling.
Quality Control in Wineries or Bottling Plants: This model could help identify and sort out defective or damaged bottles on a production line, increasing efficiency and ensuring only the best products reach consumers.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            wine-bottle-detection-1ufzm_dataset,
                            title = { Wine Bottle Detection Dataset },
                            type = { Open Source Dataset },
                            author = { Final Year Project },
                            howpublished = { \url{ https://universe.roboflow.com/final-year-project-pv9pq/wine-bottle-detection-1ufzm } },
                            url = { https://universe.roboflow.com/final-year-project-pv9pq/wine-bottle-detection-1ufzm },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-04-28 },
                            }