TACO Dataset

The TACO: Trash Annotations in Context is an open image dataset that focuses on waste in various real-world settings. It encompasses a collection of images depicting litter in diverse environments, ranging from tropical beaches to urban streets in places like London. The dataset is notable for its manual labeling and segmentation, providing a hierarchical taxonomy for object detection algorithms to train and evaluate their performance. It comprises 1,500 images that cover 60 distinct waste classes, including items like aluminum_foil, batterie, and aluminum_blister_pack.

TACO：基于上下文的垃圾标注（Trash Annotations in Context）是一个开放的图像数据集，专注于现实世界各种场景中的废弃物。该数据集包含了一系列描绘不同环境中杂物的图像，范围从热带海滩到伦敦等城市的街道。TACO数据集因其手动标注和分割而著称，为物体检测算法的训练和性能评估提供了层次化的分类体系。该数据集包含1500张图像，涵盖了60种不同的废弃物类别，包括铝箔、电池和铝制 blister 包装等物品。

搜集汇总

背景与挑战

背景概述

TACO Dataset是一个专注于真实世界环境中垃圾检测的开放图像数据集，发布于2019年，包含1500张高分辨率图像，涵盖60个垃圾类别，共有9823个标注对象，用于实例分割、语义分割和物体检测任务。该数据集特别针对废物回收行业，图像来自多样环境如海滩和街道，采用手动标注和像素级分割，并遵循CC BY 4.0许可证。