Paper Recyclability Detection Computer Vision Project
Updated a day ago
Metrics
Paper Recyclable and Non-recyclable Detection
Objective: This model was created to detect and classify recyclable and non-recyclable papers according to the recycling guidelines of the National Solid Waste Management Commission (NSWMC) in the Philippines, which are publicly available online.
Dataset Composition:
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Classes: Recyclable and Non-Recyclable
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Types of Paper: White Paper Newspaper Cardboard (e.g., milk cartons, juice boxes) Kraft Paper Magazines Books Calendars Brochures Toilet Paper Cores Braille Tissue Paper (with stains only) Waterproof Paper (e.g., cups, plates) Paper Containers (e.g., egg cartons, product boxes)
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Non-Recyclable Papers: Papers with stains (e.g., paint, coffee, food, organic matter) Papers with adhesive tapes (e.g., packaging tape, electrical tape) Braille Waterproof Paper
Dataset Statistics Before Augmentation: Total Images: 8,692 (including 869 null images) Total Annotations: 4,562 (for both classes)
Training Details: Model: YOLOv8s Epochs: 100 Optimizer: SGD
Dataset Creators: Serge Trever B. De Guzman and Christian Sydney Earl R. Gomez
Reference: For recycling guidelines, refer to the NSWMC Guideline.
Additional Notes:
- Please cite the dataset if used in your research or projects.
- An alternative version (v7) is available; however, it excludes Braille, Waterproof Paper, Tissue Paper, and Null Images. The v7 dataset was created solely for experimentation purposes.
- Can visit my github for more details. Github
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
paper-recyclability-detection_dataset,
title = { Paper Recyclability Detection Dataset },
type = { Open Source Dataset },
author = { Serge De Guzman and Christian Gomez },
howpublished = { \url{ https://universe.roboflow.com/serge-de-guzman-and-christian-gomez/paper-recyclability-detection } },
url = { https://universe.roboflow.com/serge-de-guzman-and-christian-gomez/paper-recyclability-detection },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { dec },
note = { visited on 2024-12-12 },
}