thesis Object Detection Dataset and Pre-Trained Model by GRPGLMThesis

Images

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Explore Dataset

Here are a few use cases for this project:

Smart Waste Sorting: "thesis" can be used to build an automated waste sorting system that efficiently classifies household waste into appropriate categories, making recycling and waste management much more effective and environmentally friendly.
Waste Reduction Education: The model can be integrated into educational applications and tools to teach users about proper waste disposal by allowing them to capture images of their waste and receive instant feedback on the appropriate waste class, improving waste reduction practices at home.
Assisting Municipal Waste Collection: "thesis" can help waste collectors more precisely identify the contents of different waste bins, leading to better waste management decisions and improving the efficiency of waste collection and recycling efforts.
Environmental Impact Monitoring: By analyzing images from various sources like social media, the "thesis" model could assist researchers in monitoring and understanding the prevalence and distribution of different types of waste. This would allow for better policy-making with respect to waste management and reduction.
Waste Audit Applications: Companies and institutions can employ "thesis" in their waste audit processes to analyze the types of waste generated by their operations. This would enable organizations to develop more targeted waste reduction strategies and track the success of their waste management efforts.

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{
                            thesis-unztx_dataset,
                            title = { thesis Dataset },
                            type = { Open Source Dataset },
                            author = { GRPGLMThesis },
                            howpublished = { \url{ https://universe.roboflow.com/grpglmthesis/thesis-unztx } },
                            url = { https://universe.roboflow.com/grpglmthesis/thesis-unztx },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-04-27 },
                            }