Loading datasets...
License:
CC-BY-NC-SA-4.0
Steward:
CommunityDataset ID:
cmtrd8nhc05jjny07w72o8non
Release Date: 9/7/2026
Format: JPEG, WEBM, JSON
Size: 302.97 MB
Share
The dataset comprises photographs illustrating the cultural objects and environment, including museums, historical cemeteries, mosques, street food vendors, and traditional markets. Image acquisition was conducted in East Java and Central Java, Indonesia. It contains approximately 104 annotated images, with all annotations provided in Indonesian. The primary objective of this dataset is the recognition of objects and their respective situations.
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 cultural object in museum, ancient cemetery, mosque, and traditional market
Images are annotated in Bahasa Indonesia.
104 images
Data collection spanned multiple locations, such as museums, historical cemeteries, mosques, street food hubs, and markets. The substantial volume of cultural objects captured allows for their classification under a unified cultural heritage theme.
A defining characteristic of this dataset is the use of close-up photography, which provides high clarity and detailed visibility of the cultural objects.
A limitation of this dataset is that the images were captured from a single viewpoint rather than from multiple angles, leaving the other sides of the objects unobservable.
Public open access is permitted with proper attribution and citation of the dataset source.
Mirza Ibrohim & Rahmah Nabilatun Nisa’. (2026).IND-Image Annotated from East and Central Java Culture [dataset]. Mozilla Data Collective. URL [link dataset].
Latin alphabet (A–Z), Arabic numerals (0–9).