deefect Object Detection Dataset and Pre-Trained Model by chedi

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Here are a few use cases for this project:

Quality Inspection in Manufacturing Industry: The "deefect" model can be implemented in automated inspection lines to identify defective products in real time, reducing the overall error rate, and increasing the production efficiency.
Agriculture & Farming: It could be used to automatically scan crops or farm produce for any defects like pest infestation, blight, or discoloration. This would help in maintaining the quality standards of the produce.
Image Editing Software: This model can be used in image editing applications to automatically detect and highlight the areas with defects. Users can then make corrections as needed, leading to improved photo quality and accuracy.
Retail and E-commerce: The "deefect" model can spot defective or falsely labelled items that are being prepared for shipping in the warehouse. This ensures accuracy in not delivering damaged items thus increasing customer satisfaction.
Cosmetic and Beauty Industry: It could potentially be used in cosmetic and beauty applications to scan for any skin deformations like wrinkles, blemishes, acne (CuoHua) helping professionals to provide personalized advice to their clients.

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{
                            deefect_dataset,
                            title = { deefect Dataset },
                            type = { Open Source Dataset },
                            author = { chedi },
                            howpublished = { \url{ https://universe.roboflow.com/chedi/deefect } },
                            url = { https://universe.roboflow.com/chedi/deefect },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { sep },
                            note = { visited on 2024-04-28 },
                            }