---
license: cc-by-nd-4.0
task_categories:
- image-classification
language:
- en
tags:
- code
---

# Outdoor Garbage Dataset

The dataset consisting of garbage cans of various capacities and types. Best to train a neural network to monitor the timely removal of garbage and organize the logistics of vehicles for garbage collection. Dataset is useful for the recommendation systems, optimization and automization the work of coomunity services, smart city.

![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F618942%2Fdc8b0574545e4e7963b06f6c47ce4a8e%2F(1).png?generation=1686047397390850&alt=media)

# Get the Dataset
This is just an example of the data. 
If you need access to the entire dataset, contact us via [sales@trainingdata.pro](mailto:sales@trainingdata.pro) or leave a request on **https://trainingdata.pro/data-market?utm_source=huggingface**

# Content

Dataset includes 10 000 images of trash cans: 
- in different times of day
- in different weather conditions 

## Types of garbage cans capacity

- **is_full** - at least one of the trash cans shown in the photo is completely full. This type includes filled to the top, overflown cans.
- **is_empty** - garbage cans have free space, it could be half full or completely empty.
- **is_scattered** - the tag is added with is_empty or is_full. The tag means that the garbage (volumetric garbage bags, or building waste, but not single elements) is scattered nearby. 

# Data Format

Each image from `img` folder is accompanied by an XML-annotation in the `annotations.xml` file indicating the labeled types of garbage cans capacities for each image in the dataset.

# Example of XML file structure
![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F618942%2F23d24b8378ac2db06e71e57ecb3d13ac%2Fcarbon%20(5).png?generation=1686076026295933&alt=media)

**[TrainingData](https://trainingdata.pro/data-market?utm_source=huggingface)** provides high-quality data annotation tailored to your needs.

More datasets in TrainingData's Kaggle account:  **https://www.kaggle.com/trainingdatapro/datasets**

TrainingData's GitHub: **https://github.com/trainingdata-pro**