XavierVAPE OLD

Solid Waste

Instance Segmentation

1

Solid Waste Computer Vision Project

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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.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite this Project

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

@misc{ solid-waste-ajntx_dataset,
    title = { Solid Waste Dataset },
    type = { Open Source Dataset },
    author = { XavierVAPE OLD },
    howpublished = { \url{ https://universe.roboflow.com/xaviervape-old/solid-waste-ajntx } },
    url = { https://universe.roboflow.com/xaviervape-old/solid-waste-ajntx },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { mar },
    note = { visited on 2023-12-11 },
}

Find utilities and guides to help you start using the Solid Waste project in your project.

Last Updated

9 months ago

Project Type

Instance Segmentation

Subject

Plastic-Glass-Metal

Classes

Battery, Clothing, General trash, Glass, Glass bottle, Glass cup, Metal, Metal bottle cap, Other plastic, Paper, Paper pack, Paper straw, Plastic, Plastic bag, Styrofoam, Unlabeled litter

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Downloads: 32

Downloads in previous 30 days: 2

License

CC BY 4.0