Name: waffer Dataset
License: https://creativecommons.org/licenses/by/4.0/

Images

793 images

Explore Dataset

Here are a few use cases for this project:

Quality Control in Wafer Manufacturing: The AI model can be used in wafer manufacturing facilities to automatically classify wafers and identify any flaws or irregularities like "quebrado" (broken), "ratado" (bitten), or "soltando_tampo" (losing top). This could significantly reduce the amount of time required for manual inspection and improve overall production efficiency.
Semiconductor Industry Inspection: The "waffer" model can aid in the semiconductor industry to classify and analyze silicon wafers in real-time during the production process. This could help in maintaining the high precision required in semiconductor fabrication.
Real-time Baked Goods Assessment: The model can be utilized in large-scale bakeries to automatically classify and assess the quality of their wafer-based products on the production line, ensuring that only top-quality items are packaged and sold.
Research and Development: The AI model can be used in research regarding wafer production and manufacturing processes. It can help enhance current methods by providing quick, accurate analysis of different wafer classes.
Training and Education: The model can serve as a practical tool for teaching students or new employees about the different types of wafers and quality standards in the manufacturing industry. It could help users visualize real-world examples of various wafer classes.

Cite This Project

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

@misc{
                            waffer-ijdhb_dataset,
                            title = { waffer Dataset },
                            type = { Open Source Dataset },
                            author = { Stepps },
                            howpublished = { \url{ https://universe.roboflow.com/stepps-qev9q/waffer-ijdhb } },
                            url = { https://universe.roboflow.com/stepps-qev9q/waffer-ijdhb },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-06-18 },
                            }