License:
CC-BY-NC-SA-4.0
Steward:
CommunityDataset ID:
cmuincgum05x5ny07fl4h96f9
Release Date: 9/26/2026
Format: JPEG, WEBM, JSON
Size: 118.36 MB
This dataset consists of various images featuring signs and public facilities in Magelang, Central Java Province, Indonesia. This multimodal dataset includes 100 images in total across diverse types of signs, such as those indicating prohibitions, mandatory actions, warnings, and directions.
Licensing
Creative Commons Attribution Non Commercial Share Alike 4.0 International (CC-BY-NC-SA-4.0)
https://spdx.org/licenses/CC-BY-NC-SA-4.0.htmlRestrictions/Special Constraints
This dataset restricted to research and non-commercial use. Users must provide proper attribution when using the data. You agree that you will not re-host or re-share this dataset.
Forbidden Usage
You agree not to attempt to determine the identity of individuals in this dataset. Any attempt to clone the voice or train models that imitate the specific individuals in this dataset is forbidden. You must not use this dataset for malicious, deceptive, or harmful purposes. You must not use this dataset to generate misleading or fraudulent audio content. Any use that violates privacy rights, human rights, or applicable laws is strictly prohibited.
Ethical Review
Images of this dataset are taken and owned by the dataset creator. Images are compiled and annotated using (CaLI) Caption and Label Images from MDC tools: https://mdc-dataset-toolbox-ifuhj.ondigitalocean.app/app/cali
Intended Use
This dataset is well-suited for a range of computer vision tasks, including: Image classification and object detection. Traffic sign recognition and localization. Training and benchmarking AI models for intelligent transportation systems (ITS). Multilingual OCR and sign text extraction.
Images are annotated in Bahasa Indonesia.
The dataset images were captured in public locations such as roads and city parks. The images were taken in Magelang city, Central Java Province, Indonesia. Thus, the signs in this dataset use Indonesian. The image objects in this dataset were taken at close range, so they only focus on the sign and the area around the sign is not very well exposed.
The images in this dataset are taken at close range, emphasizing the objects themselves rather than the surrounding areas. There are several identical signs and public facilities located in different areas, making it easier to understand the function of the objects in the dataset.
This dataset consists of close-up images of traffic signs and public facilities. Some images suffer from reduced quality due to lighting conditions or magnification. All images in this dataset are in Indonesian.
100 images
Public open access is permitted with proper attribution and citation of the dataset source.
Prabowo, Aditya. (2026). IND-Magelang Traffic Signs and Facilities [Data set]. Mozilla Data Collective. URL [link dataset].
Latin alphabet (A–Z), Arabic numerals (0–9).
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