arXiv Open Access 2020

TACO: Trash Annotations in Context for Litter Detection

Pedro F Proença Pedro Simões

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Abstrak

TACO is an open image dataset for litter detection and segmentation, which is growing through crowdsourcing. Firstly, this paper describes this dataset and the tools developed to support it. Secondly, we report instance segmentation performance using Mask R-CNN on the current version of TACO. Despite its small size (1500 images and 4784 annotations), our results are promising on this challenging problem. However, to achieve satisfactory trash detection in the wild for deployment, TACO still needs much more manual annotations. These can be contributed using: http://tacodataset.org/

Topik & Kata Kunci

cs.CV

Penulis (2)

Pedro F Proença

Pedro Simões

Format Sitasi

APA MLA BibTeX

Proença, P.F., Simões, P. (2020). TACO: Trash Annotations in Context for Litter Detection. https://arxiv.org/abs/2003.06975

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Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓