Storage Crates Collection 2 Object Detection Dataset and Pre-Trained Model by Crate Tracker

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Explore Dataset

Here are a few use cases for this project:

Warehouse Inventory Management: The model can be used to automate the process of inventory count and categorization, resulting in more efficient and accurate warehouse management processes.
Recycling or Waste Management: The model can identify and sort crates based on their material type - plastic, wood, etc. This can improve recycling efforts and contribute to more sustainable waste management practices.
Packing and Shipping Company: The model can help differentiate between different crate types and select the most suitable type (plastic, wood or export crate) based on the nature of the goods to be packed or shipped.
Supply Chain Management: The model can assist in tracking and identifying the types of crates used across the supply chain, improving traceability and potentially optimizing usage.
Retail Industry: Retail stores can use the model to manage their stockrooms more efficiently by identifying the types of crates used for goods storage, thus facilitating better space management.

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{
                            storage-crates-collection-2_dataset,
                            title = { Storage Crates Collection 2 Dataset },
                            type = { Open Source Dataset },
                            author = { Crate Tracker },
                            howpublished = { \url{ https://universe.roboflow.com/crate-tracker/storage-crates-collection-2 } },
                            url = { https://universe.roboflow.com/crate-tracker/storage-crates-collection-2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { feb },
                            note = { visited on 2024-04-27 },
                            }