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

# Wagons Images Classification
The dataset consists of images depicting **loaded and unloaded** wagons. The data are organasied in two folders for loaded and unloaded wagons and assisted with .CSV file containing text classification of the images.

This dataset can be useful for various tasks, such as *image classification, object detection and data-driven analyses related to wagon loading and unloading processes. 

The dataset is useful for **rail transport sphere**, it can be utilised for automation the identification and classification of the wagons and further optimization of the processes in the industry. 

![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F23ccd6c06ef7180a4a915d1844b61cb5%2FFrame%2020.png?generation=1695199830804705&alt=media)

# Get the dataset

### This is just an example of the data

Leave a request on [**https://trainingdata.pro/data-market**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=wagons-images-classification) to discuss your requirements, learn about the price and buy the dataset.

# Content
- **loaded**: includes images of loaded wagons
- **unloaded**: includes images of unloaded wagons
- **.csv file**: contains information about the dataset

### File with the extension .csv
includes the following information for each media file:
- **image_name**: link to access the image,
- **type**: type of the wagon in the image (**loaded/unloaded**)

# Wagon images might be collected and labeled in accordance with your requirements.

## **[TrainingData](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=wagons-images-classification)** 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-datamarket/TrainingData_All_datasets**