CityScapesのフォルダ構造 The folder structure of City Scapes dataset
The Cityscapes dataset is a popular computer vision dataset for urban scene understanding, particularly for semantic segmentation and related tasks. It contains high-resolution images of street scenes from various cities, along with pixel-level annotations for different object classes.
The folder structure of the Cityscapes dataset typically follows this hierarchy:
cityscapes ├── leftImg8bit │ ├── train │ │ ├── city_name │ │ │ ├── image_name.png │ │ │ ├── ... │ │ │ └── image_name.png │ ├── val │ │ ├── city_name │ │ │ ├── image_name.png │ │ │ ├── ... │ │ │ └── image_name.png │ └── test │ ├── city_name │ │ ├── image_name.png │ │ ├── ... │ │ └── image_name.png └── gtFine ├── train │ ├── city_name │ │ ├── image_name.png │ │ ├── ... │ │ └── image_name.png ├── val │ ├── city_name │ │ ├── image_name.png │ │ ├── ... │ │ └── image_name.png └── test ├── city_name │ ├── image_name.png │ ├── ... │ └── image_name.png
- The
leftImg8bit
directory contains the RGB images. - The
gtFine
directory contains the corresponding pixel-level annotations for semantic segmentation. - Inside both
leftImg8bit
andgtFine
, there are separate directories fortrain
,val
(validation), andtest
sets. - Within each split directory, there are city-specific directories (e.g.,
city_name
) containing the actual image files. - The image files are typically stored in PNG format.
Note that the actual names of the directories may vary slightly depending on the specific version or variant of the Cityscapes dataset.
The Cityscapes dataset includes images from various cities across different countries. Here are some of the cities included in the dataset:
Aachen Bochum Bremen Dortmund Dusseldorf Erfurt Frankfurt Hamburg Hanover Krefeld Leipzig Monchengladbach Munich Munster Stuttgart Trier Ulm Weimar Zurich (Switzerland)
Please note that this is not an exhaustive list, and there may be additional cities or regions included in different versions or variations of the Cityscapes dataset.
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