Published June 6, 2026 | Version v2

Object-Centric Low-Data Datasets

  • 1. The University of Queensland
  • 2. ROR icon Swinburne University of Technology

Description

Public release package for the Object-Centric Low-Data Datasets collection. The release includes a direct TrafficSigns dataset with images and YOLO labels, and reconstruction-first Cityscapes--Pedestrian and COCO PottedPlant packages containing scripts, manifests, public per-box annotation CSVs, metadata, checksums, and documentation. Cityscapes and COCO image files are not redistributed; users must obtain upstream datasets separately.

Notes

Release-mode note:

This archive uses a mixed release model.

TrafficSigns is directly released.

Cityscapes--Pedestrian and COCO PottedPlant are reconstruction-first / metadata-first releases. The archive contains public non-image artifacts such as scripts, manifests, per-box annotation CSVs, metadata, checksums, and documentation. It does not include original Cityscapes images, original COCO images, reconstructed Cityscapes crops, reconstructed COCO crops, thumbnails, preview images, or derived mask images from upstream-constrained sources.

Users are responsible for obtaining upstream Cityscapes and COCO data separately and complying with the applicable upstream terms.

Files

object-centric-low-data-datasets-v0.1.1.zip

Files (25.0 MB)

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Additional details

Software

Repository URL
https://github.com/Latzi/object-centric-low-data-datasets
Programming language
Python
Development Status
Active