Darebal/furniture-catalog

Furniture Catalog

Image catalog and training splits from the bachelor's thesis "Visual Furnishings Compatibility Learning and Retrieval Using Machine Learning" (Ukrainian Catholic University, 2026).

5 171 individual furniture images across two room types, 1 781 room scene images, plus triplet training data (golden / train / val splits) used to train the compatibility model.

Repo layout

{room}/
  {category}/           *.jpg   — individual furniture images
  general_manifest.json         — scene metadata + product-page links
  triplets/
    scene_split.json            — golden(18%) / train(70%) / val(12%) assignment
    train_triplets.csv
    val_triplets.csv
    golden_triplets.csv
    figures/                    — split and category distribution plots
  embeddings/
    furniture_embeddings.json   — ResNet50/CLIP features used for negative mining
scenes/bedrooms/
  deepfurn/{scene}/scene_image.jpg
  sklad_mebliv/{scene}/scene_image.jpg
scenes/living_rooms/
  deepfurn/{scene}/scene_image.jpg

Triplet CSV columns: anchor_id, anchor_category, anchor_scene, anchor_source, positive_id, positive_category, positive_scene, positive_source, negative_id, negative_category, negative_scene, negative_source, pos_neg_distance, anchor_counterpart_distance, combined_distance.

Dataset statistics

Bedrooms

Living rooms

Data sources

• DeepFurniture — Liu et al., "Furnishing Your Room by What You See", arXiv:1911.09299. Original dataset: byliu/DeepFurniture
• Sklad Mebliv — Ukrainian furniture retailer: skladmebliv.ua

Images are used for non-commercial academic research only. If you are a rights holder with concerns, please open an issue.

Quick start

git clone https://github.com/Baredal/thesis_furnitures
cd thesis_furnitures
pip install -r requirements.txt
git lfs install
python download_from_hf.py        # downloads this dataset + the model repo
streamlit run src/app/streamlit_app.py

Related

• Model weights + retrieval artifacts: Darebal/furniture-compatibility-siamese
• Code: github.com/Baredal/thesis_furnitures

Citation

@thesis{Strus2026furniture,
  title  = {Visual Furnishings Compatibility Learning and Retrieval Using Machine Learning},
  author = {Yaroslav-Dmytro Strus},
  school = {Ukrainian Catholic University},
  year   = {2026},
  type   = {Bachelor's Thesis}
}

Please also cite DeepFurniture if you use this dataset:

@article{liu2019furnishing,
  title={Furnishing Your Room by What You See: An End-to-End Furniture Set Retrieval Framework with Rich Annotated Benchmark Dataset},
  author={Bingyuan Liu and Jiantao Zhang and Xiaoting Zhang and Wei Zhang and Chuanhui Yu and Yuan Zhou},
  journal={arXiv preprint arXiv:1911.09299},
  year={2019},
}

License

Derived artefacts (triplet CSVs, manifests): CC BY-NC 4.0.
Original images remain under the terms of their respective sources — DeepFurniture and Sklad Mebliv — and are used for non-commercial academic research only.