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/
翻译：TACO是一个开放的图像数据集,用于垃圾检测和分割,通过众包不断增长。首先,本文描述了这一数据集以及为支持该数据集而开发的工具。第二,我们用Mask R-CNN报告目前版本的TACO的分解性能。尽管其规模小(1500张图像和4784份说明),但我们在这项具有挑战性的问题上取得了大有希望的结果。然而,为了在野外取得令人满意的垃圾检测,以便部署,TACO还需要更多手动说明。这些说明可以使用http://tacodataset.org/提供。
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