论文标题
炸玉米饼：垃圾检测上下文中的垃圾注释
TACO: Trash Annotations in Context for Litter Detection
论文作者
论文摘要
炸玉米饼是用于垃圾检测和细分的开放图像数据集，它正在通过众包增长。首先，本文描述了该数据集以及为其提供支持的工具。其次，我们在当前版本的Taco上使用Mask R-CNN报告实例细分性能。尽管它的尺寸很小（1500张图像和4784个注释），但我们的结果在这个具有挑战性的问题上还是有希望的。但是，为了在野外实现令人满意的垃圾检测以进行部署，炸玉米饼仍然需要更多的手动注释。这些可以使用以下方式贡献：http：//tacodataset.org/
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/
