nfinite-product-masks-sample

Version of the release: 1.0.0-alpha
Release date: 2025/08/30

Dataset Summary

The nfinite-product-masks-sample dataset is a dataset of images from 3D models for objects usually found in the home & living room space.

Each image has been rendered photo-realistically from 3D models.
Those 3D models are generic models, from any IP (as explained in the Personal and Sensitive Information part, any resemblance to an object from real life is purely coincidental).
The dataset was created to support the opensource community, providing a robust and diverse dataset to train new algorithms or refine existing algorithms on quality data.

Supported Tasks

The dataset can be used, fo research purpose only, to train or refine a model on a object detection, scene segmentation, foreground/background separation, etc…

This dataset was used by finegrain to train finegrain/finegrain-box-segmenter

Dataset Creation

Personal and Sensitive Information

All the objects used for the 3D model are generic, property of nfinite. Any resemblance is purely coincidental and not the result of a deliberate action.
The corpora is free of personal or sensitive information.

Additional Information

Licensing Information

The dataset is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike (CC BY-NC-SA) licence (https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en).
This license lets you remix, tweak, and build upon the work non-commercially, as long as you credit nfinite and license your new creations under the identical terms.

Citation Information

@inproceedings{nfinite-lrp-1,
  author = {Guillaume Hertault, Loïc Toungoue, Jean-Philippe Deblonde},
  editor = {nfinite R&D Team},
  title = {nfinite PMS01: nfinite-product-masks-sample},
  year = {2024}
}

Q&A

If you have any inquiry about this dataset, feel free to contact us. If you see any mistake or incomplete information in the dataset, contact us, and we will update it.