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IKEA 3D Assembly Dataset

The IKEA 3D Assembly Dataset is provided by Inter IKEA Systems B.V. to encourage research related to assembly instructions. It contains 3D models of five IKEA products that have been prepared so that each part a user interacts with during assembly is easily manipulable in 3D.

Source
github
Created
Nov 15, 2021
Updated
Dec 9, 2021
Signals
360 views
Availability
Linked source ready
Overview

Dataset description and usage context

IKEA 3D Assembly Dataset Overview

Dataset Description

The IKEA 3D Assembly Dataset, provided by Inter IKEA Systems B.V., aims to promote research on assembly instructions. The dataset includes 3D files for five IKEA products; in the final assembled state, all parts that users interact with during assembly are readily operable in 3D.

Key Features

  • Contains 3D models of five IKEA products, with all user‑interacted parts included.
  • Basic color/material assignment for product components.
  • Corresponding assembly instruction documents for the current version.

Products in the Dataset

ImageProduct Description
30449908 LACK 55x55 in white - A side tableLACK
55x55 cm, white – side table
70332124 EKET 35x25x35 in white A small cabinet.EKET
35×25×35 cm, white – small cabinet
00333947 EKET 70x35x35 in white A cabinet with 2 drawers.EKET
70×35×35 cm, white – cabinet with two drawers
40463852 BEKVÄM in black - A step stoolBEKVÄM
black – step stool
60155602 DALFRED in black - A bar stoolDALFRED
black – bar stool

Dataset Formats

File TypeDescriptionUnit
.glb/.glTFFinal assembled state with materialsmeters
.objFinal assembled state with basic colors onlymillimeters
.pdfAssembly instructions

Versioning

Version numbers follow the major.minor scheme. The minor version indicates non‑breaking changes (e.g., format extensions). The major version denotes breaking changes such as adding or removing models or altering material definitions.

License

The dataset is released under CC BY‑NC‑SA 4.0, for non‑commercial use only, to foster research on furniture assembly.

Citation

When using this dataset, please cite:

@misc{su2021ikea,
  title={IKEA Object State Dataset: A 6DoF object pose estimation dataset and benchmark for multi‑state assembly objects},
  author={Yongzhi Su and Mingxin Liu and Jason Rambach and Antonia Pehrson and Anton Berg and Didier Stricker},
  year={2021},
  eprint={2111.08614},
  archivePrefix={arXiv},
  primaryClass={cs.CV}
}
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