DDR-Set Object Detection Dataset and Pre-Trained Model by ahmed alsaba

Images

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Explore Dataset

Here are a few use cases for this project:

PCB Assembly and Quality Control: In electronics manufacturing industries, DDR-Set can be used to identify different types of DDR classes on a Printed Circuit Board (PCB). It helps with part identification and verification in the assembly line, detecting issues in the configuration, and ensuring the quality control process.
Electronics Retail: The model can be used by electronics retailers in their inventory management systems, enabling them to automatically identify and catalog different types of DDR classes in their stock. It can reduce time spent in manual data entry and error rates.
E-Waste Sorting: DDR-Set can be employed in electronic waste management facilities. It can automate the task of sorting different classes of DDRs for safe disposal or recycling, improving efficiency and reducing the risk of inappropriate waste handling.
Education and Training: This model could serve as an educational tool for training students, technicians, and engineers about different classes of DDR. It could be integrated into a virtual reality or augmented reality-based application.
Electronics Repair Services: For someone in repair services, accurately identifying DDR classes is crucial. This model can automate the identification process, saving time and improving the accuracy of diagnosis and repair.

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{
                            ddr-set_dataset,
                            title = { DDR-Set Dataset },
                            type = { Open Source Dataset },
                            author = { ahmed alsaba },
                            howpublished = { \url{ https://universe.roboflow.com/ahmed-alsaba-0xutg/ddr-set } },
                            url = { https://universe.roboflow.com/ahmed-alsaba-0xutg/ddr-set },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-06-23 },
                            }