CPI-Project Object Detection Dataset and Pre-Trained Model by CPIN Project

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Explore Dataset

Here are a few use cases for this project:

Warehouse Inventory Management: The CPI-Project model can be used to automate the tracking and classification of different types of pallets in a warehouse, enabling efficient organization and retrieval of inventory.
Supply Chain Optimization: Integration of the model into supply chain management systems can help monitor and optimize the transportation and distribution of goods by accurately identifying pallet types and ensuring correct loading and unloading procedures.
Recycling and Waste Management: The model could aid in the identification and sorting of reusable or recyclable pallets from waste, facilitating a more eco-friendly disposal process and reducing environmental impact.
Retail Stock Management: Implementing the CPI-Project model in retail environments can help manage in-store inventory and restocking processes by accurately identifying the types of pallets being used and their corresponding products.
Construction and Infrastructure: The model can be used to assess and monitor construction sites, ensuring that the required materials and equipment are available and organized, and detecting any potential safety hazards related to the improper storage or stacking of pallets.

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.

Cite This Project

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

@misc{
                            cpi-project_dataset,
                            title = { CPI-Project Dataset },
                            type = { Open Source Dataset },
                            author = { CPIN Project },
                            howpublished = { \url{ https://universe.roboflow.com/cpin-project/cpi-project } },
                            url = { https://universe.roboflow.com/cpin-project/cpi-project },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { dec },
                            note = { visited on 2024-05-09 },
                            }