abri_0503 Object Detection Dataset and Pre-Trained Model by NationalTaiwanUniversity

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Explore Dataset

Here are a few use cases for this project:

Educational Purposes - The "abri_0503" model can be used in educational institutes to teach students about different PC classes. It can provide hands-on learning experience to the students, helping them to recognize and understand the individual features of various PC and GAP classes.
Vendor Comparison - In retail or online businesses, the model can help in comparing different products from different vendors. It can quickly identify and classify the PC's, aiding in efficient product comparisons based on class or type.
Automated Inventory Management - Organizations and businesses dealing with PCs can use "abri_0503" for automated inventory management. The model can accurately identify and classify PCs, helping maintain efficient stock, order, and delivery systems.
Quality Control in Manufacturing – In a PC manufacturing plant, the "abri_0503" model could be used as a part of a quality control system, identifying and classifying newly made PCs, ensuring each unit falls within its correct class and meets its standards.
Tech Support Services – Technical support services can use the model to swiftly identify the class of a PC when dealing with customer issues, speeding up the support process and improving customer satisfaction.

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{
                            abri_0503_dataset,
                            title = { abri_0503 Dataset },
                            type = { Open Source Dataset },
                            author = { NationalTaiwanUniversity },
                            howpublished = { \url{ https://universe.roboflow.com/nationaltaiwanuniversity/abri_0503 } },
                            url = { https://universe.roboflow.com/nationaltaiwanuniversity/abri_0503 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { sep },
                            note = { visited on 2024-06-23 },
                            }