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<h1>cc-by-sa</h1>
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<h2><a href="/projects/waste.html" class="article-title">Waste detection</a></h2>
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<div class="home-article-date">2024-04-29</div>
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<p><p>An YOLO model specifically trained to detect waste in images. We collected a custom dataset of waste,
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classified and annotated it, and trained the model using YOLOv8 on Keras. The model is able to detect
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the position and class of waste in images. It can separate the following classes of waste:
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<p>Page generated on Sunday, 2 February 2025 at 21:30:11</p>
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<p xmlns:cc="http://creativecommons.org/ns#" >This work is marked with <a href="https://creativecommons.org/publicdomain/zero/1.0/?ref=chooser-v1" target="_blank" rel="license noopener noreferrer" style="display:inline-block;">CC0 1.0 Universal</a> (🄍). No rights reserved.</p>
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