Automated defect detection Final Year Project RP Object Detection Dataset and Pre-Trained Model by weimin

Images

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128 images

Explore Dataset

Here are a few use cases for this project:

Recycling and Waste Management: This computer vision model can be implemented in smart recycling systems to automatically sort and separate recyclable materials, such as bottles, cans, paper, glass, and plastic, for improved recycling efficiency and reduced environmental impact.
Quality Control in Manufacturing: Manufacturers can use this system to automatically detect defective bottles in production lines, minimizing the likelihood of substandard products reaching the market and reducing waste generation.
Retail Shelf Monitoring: Retailers can implement the model in-store to autonomously monitor shelves for damaged or defective products, ensuring that customers receive high-quality items and maintaining a positive shopping experience.
Environmental Cleanup Efforts: This computer vision model can be employed in drone or robotic systems designed for beach and natural areas cleanup, helping to identify and remove littered bottles, cans, paper, glass, and plastic effectively and efficiently.
Waste Management Analytics: By incorporating this model into smart waste management systems, waste management companies can gather and analyze data on the types and quantities of materials being disposed of, enabling them to optimize waste collection schedules and develop more targeted recycling campaigns.

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{
                            automated-defect-detection-final-year-project-rp_dataset,
                            title = { Automated defect detection Final Year Project RP Dataset },
                            type = { Open Source Dataset },
                            author = { weimin },
                            howpublished = { \url{ https://universe.roboflow.com/weimin-kudct/automated-defect-detection-final-year-project-rp } },
                            url = { https://universe.roboflow.com/weimin-kudct/automated-defect-detection-final-year-project-rp },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-05-08 },
                            }