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License:
CC-BY-NC-SA-4.0
Steward:
CommunityDataset ID:
cmtrd8rjv05s2o107hxuvhd8l
Release Date: 9/7/2026
Format: JPEG, WEBM, JSON
Size: 544.99 MB
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The dataset contains images depicting the public environments such as educational space, places of worship, tourist attractions, roads, and traffic signs. The images were taken in various locations, primarily in the Special Region of Yogyakarta, Indonesia. There are approximately 135 annotated photos, and the language used for the annotations is Indonesian. These photos were collected for the purpose of recognizing objects and their situations within the dataset.
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 is for research and education purposes.
Forbidden Usage
The dataset is not allowed for commercial use.
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 to image classification and object detection especially public space and sign
Images are annotated in Bahasa Indonesia.
Images were taken in public areas, including educational facilities, places of worship, tourist attractions, roadways, and traffic signs. Selected objects were photographed from multiple viewpoints (top, bottom, left, and right)
The dataset's uniqueness stems from multi-angle photography, distinctive locations, and rare subjects—such as historical buildings that remain operational.
The dataset is limited by partial multi-angle coverage, meaning not all objects were photographed from every perspective. Furthermore, area coverage is selective rather than exhaustive, focusing only on spots that exhibit distinct visual differences.
Public open access is permitted with proper attribution and citation of the dataset source.
Mirza Ibrohim. (2026). IND Image Corpus - Yogyakarta Public Space and Signage Dataset [dataset]. Mozilla Data Collective. URL [link dataset].
135 images
Latin alphabet (A–Z), Arabic numerals (0–9).