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--- |
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license: cc-by-nc-nd-4.0 |
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task_categories: |
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- object-detection |
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- image-classification |
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tags: |
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- garbage |
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- image |
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- smart city |
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- computer vision |
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- environment |
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size_categories: |
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- 1K<n<10K |
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--- |
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# Outdoor Garbage - Smart Cities Dataset |
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Dataset comprises **5,000+** images of trash cans captured in various outdoor environments at different times of day and under diverse weather conditions. This extensive collection is designed for research in **waste classification** and **detection methods**, researchers can advance their capabilities in **deep learning** and **machine learning** applications, specifically in the areas of **image recognition** and **instance segmentation**. |
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By utilizing this dataset, researchers can enhance **recommendation systems**, optimize processes, and automate the operations of community services in **smart cities**. - **[Get the data](https://unidata.pro/datasets/outdoor-garbage/?utm_source=huggingface&utm_medium=referral&utm_campaign=outdoor-garbage)** |
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# Example of the data |
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Each image in the dataset is accompanied by an XML annotation that provides detailed information about the types of trash bins and their respective capacities: full, empty, or scattered. The dataset is particularly valuable for developing and testing segmentation models and detection performances in real-world scenarios. |
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# 💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at [https://unidata.pro](https://unidata.pro/datasets/outdoor-garbage/?utm_source=huggingface&utm_medium=referral&utm_campaign=outdoor-garbage) to discuss your requirements and pricing options. |
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The dataset supports various image classification and object detection tasks, enabling researchers and developers to enhance their understanding of waste management systems and improve litter detection technologies. |
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# 🌐 [UniData](https://unidata.pro/datasets/outdoor-garbage/?utm_source=huggingface&utm_medium=referral&utm_campaign=outdoor-garbage) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects |