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<h1>crowdsourcing</h1>
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<div class="topic-posts">
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<article class="content-area">
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<h2><a href="/projects/gigadata.html" class="article-title">Gigadata</a></h2>
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<div class="home-article-date">2024-10-15</div>
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<p><p>Gigadata is an image dataset collection and annotation platform. It allows anyone
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to easily contribute to the dataset by uploading images and annotating objects,
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and to use the dataset for training machine learning models.
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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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