Dark Mode
Railroad Freight State Identification Dataset
Data Science and Analytics
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
Automating the classification of rail freight is essential for modernising logistics and improving operational efficiency. By providing imagery of both loaded and unloaded wagons, this resource enables the development of computer vision models capable of distinguishing between these two states. Such automated identification supports the optimisation of loading processes and the overall streamlining of rail transport operations.
Columns
- image_name: A link or identifier used to access the specific image file of the wagon.
- type: A text classification field specifying whether the wagon in the image is "loaded" or "unloaded".
Distribution
The collection is organised into two distinct folders—one for loaded wagons and one for unloaded wagons—complemented by a primary CSV file named
wagons.csv. The CSV file is 434 bytes in size and contains 18 records across 2 columns. Every entry is 100% valid with no missing or mismatched values. The data is static, with no future updates expected.Usage
This imagery is perfectly suited for training object detection and image classification algorithms within the rail transport sphere. It can be applied to automate the tracking of freight status and to facilitate data-driven analyses of industrial loading cycles. Furthermore, it serves as a foundational tool for researchers exploring wagon segmentation, bogie identification, or locomotive tracking.
Coverage
The scope relates to global railway transport and infrastructure. While the current sample consists of 18 specific records, it addresses universal themes in the railroad industry, such as wagon bogie and tipper operations. There are no specific temporal constraints mentioned, and the data is considered a fixed set for its intended use case.
License
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Who Can Use It
Computer vision engineers can leverage these images to develop robust detection systems for heavy industry. Logistics managers in the rail sector may utilise the findings to implement automated monitoring of freight. Additionally, academic researchers focusing on transportation automation can use the labelled data for benchmarking and algorithm validation.
Dataset Name Suggestions
- Automated Rail Freight Classification and Visual Detection
- Wagon Loading and Unloading Image Registry
- Railroad Freight State Identification Dataset
- Computer Vision Data for Global Railway Wagons
- Loaded and Unloaded Train Carriage Classification Set
Attributes
Original Data Source: Railroad Freight State Identification Dataset
QUALITYLoading...
Free
Download Dataset in ZIP Format
Recommended Datasets
Loading recommendations...