Datasets:
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---
license: cc-by-nc-nd-4.0
task_categories:
- object-detection
- image-classification
tags:
- garbage
- image
- smart city
- computer vision
- environment
size_categories:
- 1K<n<10K
---
# Outdoor Garbage - Smart Cities Dataset
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**.
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)**
# 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.
# 💵 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.
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.
# 🌐 [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 |