COCO_val14_160x120_small

Dataset Card for [COCO_val14_160x120_small]

This dataset is a customized subset of the Visual Wake Words (VWW) dataset, specifically optimized for downstream TinyML applications. Visual Wake Words represents a common micro-controller use case: determining whether a person is present in the frame (a "wake word" for vision applications).
VWW dataset is entirely derived from the Microsoft COCO 2014/2017 dataset splits, filtered and re-labeled into a binary classification task.

Dataset Description

• Curated by: [Omnivision Inc]
• Source Dataset: MS COCO 2014
• Language: English
• License: CC BY 4.0 (for annotations) / Flickr Terms of Use (for source images)

Licensing and Attribution Information

This dataset features a split-licensing structure inheriting from its upstream source, MS COCO:

1. Annotations: Any new or modified annotations, labels, and bounding boxes created for this project are released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
2. Source Images: The underlying photographs are originating from Flickr. The creators of this dataset do not hold the copyright to these images. Use of the images is bound by the Flickr Terms of Use. Users are individually responsible for ensuring their compliance with the original photographers' terms, particularly regarding commercial downstream use.

Upstream Attribution

If you use this dataset, you must attribute both this derivative version and the original foundation dataset: * Original Dataset Creators: COCO Consortium (Visual Wake Words Dataset (A. Chowdhery et al., 2019)).

Citation

If you use this dataset, please cite the following original COCO and VWW papers alongside this repository:

@article{chowdhery2019visual,
  title={Visual wake words dataset},
  author={Chowdhery, Aakanksha and Warden, Pete and Shlens, Jonathon and Howard, Andrew and Rhodes, Rocky},
  journal={arXiv preprint arXiv:1906.05721},
  year={2019}
}

@inproceedings{lin2014microsoft,
  title={Microsoft coco: Common objects in context},
  author={Lin, Tsung-Yi and Maire, Michael Belongie, Serge and Hays, James and Perona, Pietro and Ramanan, Deva and Doll{\'a}r, Piotr and Zitnick, C Lawrence},
  booktitle={Computer Vision--ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V 13},
  pages={740--755},
  year={2014},
  organization={Springer}
}