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29 rader · Cityscapes is a large-scale database which focuses on semantic …

Cityscapes data (dataset home page) contains labeled videos taken from vehicles driven in Germany. This version is a processed subsample ...

Cityscapes is a dataset consisting of diverse urban street scenes across 50 different cities at varying times of the year as well as ground ...

Dataset Overview. The Cityscapes Dataset focuses on semantic understanding of urban street scenes. In the following, we give an overview on the design choices that were made to target the dataset’s focus.

The Cityscapes dataset consists of diverse urban street scenes from across 50 different cities obtained at different times throughout the ...

Cityscapes Dataset | Papers With Code Cityscapes Cityscapes is a large-scale database which focuses on semantic understanding of urban street scenes. It provides semantic, instance-wise, and dense pixel annotations for 30 classes grouped into 8 categories (flat surfaces, humans, vehicles, constructions, objects, nature, sky, and void).

Jun 18, 2020 · The Cityscapes-Dataset focuses on semantic understanding of urban street scenes. In the following, we give an overview on the design choices that were made to target the dataset's focus. ( https://www.cityscapes-dataset.com/) Features Polygonal annotations-Dense semantic segmentation /instance segmentation for vehicle and people Complexity

Cityscapes是关于城市街道场景的语义理解图片数据集。 它主要包含来自50个不同城市的街道场景，拥有5000张在城市环境中驾驶场景的高质量像素级注释图像 （其中2975 for train，500 for val,1525 for test，共有19个类别）； 此外，它还有20000张粗糙标注的图像(gt coarse)。

Loading images and labels from Cityscapes is straight-forward with GluonCV's dataset utility: from gluoncv.data import CitySegmentation train_dataset ...

The Cityscapes Dataset is intended for assessing the performance of vision algorithms for major tasks of semantic urban scene understanding: pixel-level, instance-level, and panoptic semantic labeling; supporting research that aims to exploit large volumes of (weakly) annotated data, e.g. for training deep neural networks. Latest News

The Cityscapes Dataset · assessing the performance of vision algorithms for major tasks of semantic urban scene understanding: pixel-level, instance-level, and ...

COCO 和 CityScapes 是 Detection 常用的两个数据集，当然由于 Instance Segmentation 和 Detection 任务是相似的，且它们都提供 mask 级的 label，所以也可以使用。 目前它们也都提供了 stuff 的 label，所以也可以用于 Semantic Segmentation，以及结合两种 label 之后用于 Panoptic Segmentation。

The Cityscapes Dataset is intended for. assessing the performance of vision algorithms for major tasks of semantic urban scene understanding: pixel-level, instance-level, and panoptic semantic labeling; supporting research that aims to …

type the type/modality of data, e.g. gtFine for fine ground truth, or leftImg8bit for left 8-bit images. split the split, i.e. train/val/test/train_extra/ ...

The videos below provide further examples of the Cityscapes Dataset. The first video contains roughly 1000 images with high quality annotations overlayed. The second video visualizes the precomputed depth maps using the corresponding right stereo views.

City Scapes dataset is a very popular dataset that consists of labeled street images (from video sequence). There are 5000 high-quality ...

Data was captured in 50 cities during several months, daytimes, and good weather conditions. It was originally recorded as video so the frames were manually ...

Benchmark Suite – Cityscapes Dataset Benchmark Suite We offer a benchmark suite together with an evaluation server, such that authors can upload their results and get a ranking regarding the different tasks ( pixel-level, instance-level, and panoptic semantic labeling as well as 3d vehicle detection ).

Cityscapes is comprised of a large, diverse set of stereo video sequences recorded in streets from 50 different cities. 5000 of these images ...

01.07.2020 · 3.1、简单介绍. Cityscapes数据集呢，主要是车行驶在各个城市的图像，图像比较大（1024*2048），主要用于分割，检测等任务，这里就不多说了，看下面的数据集信息吧。. gtCoarse.zip（1.3GB）：主要为标的粗糙一些的标注，包括标注训练与验证集标注共3475张图片 ...