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Datasets/Cityscapes

Cityscapes

ImagesCustomIntroduced 2016-01-01

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). The dataset consists of around 5000 fine annotated images and 20000 coarse annotated ones. 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 selected to have the following features: large number of dynamic objects, varying scene layout, and varying background.

Source: A Review on Deep Learning Techniques Applied to Semantic Segmentation Image Source: https://www.cityscapes-dataset.com/dataset-overview/

Benchmarks

10-shot image generation/mIoU 10-shot image generation/Pixel Accuracy 16k/mPC [AP]2D Classification/mPC [AP]2D Object Detection/mPC [AP]2D Panoptic Segmentation/PQ 3D/mPC [AP]3D/RMSE 3D/RMSE log 3D/Absolute relative error (AbsRel)3D/Square relative error (SqRel)Class Incremental Learning/mIoU Class-Incremental Semantic Segmentation/mIoU Continual Learning/mIoU Depth Estimation/RMSE Depth Estimation/RMSE log Depth Estimation/Absolute relative error (AbsRel)Depth Estimation/Square relative error (SqRel)Image Generation/FID-10k-training-steps Instance Segmentation/AP Knowledge Distillation/AP Object Detection/mPC [AP]Open Vocabulary Semantic Segmentation/mIoU Semantic Segmentation/mIoU Semantic Segmentation/Pixel Accuracy Semi-Supervised Instance Segmentation/AP Unsupervised Panoptic Segmentation/PQ Video/LPIPS Video/MS-SSIM Video Prediction/LPIPS Video Prediction/MS-SSIM

Related Benchmarks

Cityscapes 10% labeled/10-shot image generation/Mean IoU (class)Cityscapes 10% labeled/Semantic Segmentation/Mean IoU (class)Cityscapes 100 samples labeled/10-shot image generation/Validation mIoU Cityscapes 100 samples labeled/Semantic Segmentation/Validation mIoU Cityscapes 12.5% labeled/10-shot image generation/Validation mIoU Cityscapes 12.5% labeled/Semantic Segmentation/Validation mIoU Cityscapes 128x128/Video/Cond.Cityscapes 128x128/Video/FVD Cityscapes 128x128/Video/LPIPS Cityscapes 128x128/Video/PSNR Cityscapes 128x128/Video/Pred Cityscapes 128x128/Video/SSIM Cityscapes 128x128/Video/Train Cityscapes 128x128/Video Prediction/Cond.Cityscapes 128x128/Video Prediction/FVD Cityscapes 128x128/Video Prediction/LPIPS Cityscapes 128x128/Video Prediction/PSNR Cityscapes 128x128/Video Prediction/Pred Cityscapes 128x128/Video Prediction/SSIM Cityscapes 128x128/Video Prediction/Train Cityscapes 2% labeled/10-shot image generation/Validation mIoU Cityscapes 2% labeled/Semantic Segmentation/Validation mIoU Cityscapes 25% labeled/10-shot image generation/Validation mIoU Cityscapes 25% labeled/Semantic Segmentation/Validation mIoU Cityscapes 3D/10-shot image generation/mIoU Cityscapes 3D/16k/mDS Cityscapes 3D/2D Classification/mDS Cityscapes 3D/2D Object Detection/mDS Cityscapes 3D/3D/RMSE Cityscapes 3D/3D/mDS Cityscapes 3D/3D Object Detection/mDS Cityscapes 3D/Depth Estimation/RMSE Cityscapes 3D/Object Detection/mDS Cityscapes 3D/Semantic Segmentation/mIoU Cityscapes 5% labeled/10-shot image generation/Validation mIoU Cityscapes 5% labeled/Semantic Segmentation/Validation mIoU Cityscapes 50% labeled/10-shot image generation/Validation mIoU Cityscapes 50% labeled/Semantic Segmentation/Validation mIoU Cityscapes 6.25% labeled/10-shot image generation/Validation mIoU Cityscapes 6.25% labeled/Semantic Segmentation/Validation mIoU Cityscapes 93 labeled/10-shot image generation/Validation mIoU Cityscapes 93 labeled/Semantic Segmentation/Validation mIoU Cityscapes Labels-to-Photo/1 Image, 2*2 Stitching/Accuracy Cityscapes Labels-to-Photo/1 Image, 2*2 Stitching/Class IOU Cityscapes Labels-to-Photo/1 Image, 2*2 Stitching/FID Cityscapes Labels-to-Photo/1 Image, 2*2 Stitching/LPIPS Cityscapes Labels-to-Photo/1 Image, 2*2 Stitching/Per-class Accuracy Cityscapes Labels-to-Photo/1 Image, 2*2 Stitching/Per-pixel Accuracy Cityscapes Labels-to-Photo/1 Image, 2*2 Stitching/mIoU Cityscapes Labels-to-Photo/Image Generation/Accuracy Cityscapes Labels-to-Photo/Image Generation/Class IOU Cityscapes Labels-to-Photo/Image Generation/FID Cityscapes Labels-to-Photo/Image Generation/LPIPS Cityscapes Labels-to-Photo/Image Generation/Per-class Accuracy Cityscapes Labels-to-Photo/Image Generation/Per-pixel Accuracy Cityscapes Labels-to-Photo/Image Generation/mIoU Cityscapes Labels-to-Photo/Image-to-Image Translation/Accuracy Cityscapes Labels-to-Photo/Image-to-Image Translation/Class IOU Cityscapes Labels-to-Photo/Image-to-Image Translation/FID Cityscapes Labels-to-Photo/Image-to-Image Translation/LPIPS Cityscapes Labels-to-Photo/Image-to-Image Translation/Per-class Accuracy Cityscapes Labels-to-Photo/Image-to-Image Translation/Per-pixel Accuracy Cityscapes Labels-to-Photo/Image-to-Image Translation/mIoU Cityscapes Panoptic Parts/Part-aware Panoptic Segmentation/PartPQ Cityscapes Photo-to-Labels/1 Image, 2*2 Stitching/Class IOU Cityscapes Photo-to-Labels/1 Image, 2*2 Stitching/Per-class Accuracy Cityscapes Photo-to-Labels/1 Image, 2*2 Stitching/Per-pixel Accuracy Cityscapes Photo-to-Labels/Image Generation/Class IOU Cityscapes Photo-to-Labels/Image Generation/Per-class Accuracy Cityscapes Photo-to-Labels/Image Generation/Per-pixel Accuracy Cityscapes Photo-to-Labels/Image-to-Image Translation/Class IOU Cityscapes Photo-to-Labels/Image-to-Image Translation/Per-class Accuracy Cityscapes Photo-to-Labels/Image-to-Image Translation/Per-pixel Accuracy Cityscapes VIPriors subset/10-shot image generation/Accuracy Cityscapes VIPriors subset/10-shot image generation/mIoU Cityscapes VIPriors subset/Semantic Segmentation/Accuracy Cityscapes VIPriors subset/Semantic Segmentation/mIoU Cityscapes heterogeneous/Federated Learning/mIoU Cityscapes test/10-shot image generation/Accuracy Cityscapes test/10-shot image generation/Category mIoU Cityscapes test/10-shot image generation/Frame (fps)Cityscapes test/10-shot image generation/Mean IoU (class)Cityscapes test/10-shot image generation/PQ Cityscapes test/10-shot image generation/Pixel Accuracy Cityscapes test/10-shot image generation/Time (ms)Cityscapes test/10-shot image generation/mIoU Cityscapes test/16k/mPC [AP]Cityscapes test/16k/rPC [%]Cityscapes test/2D Classification/mPC [AP]Cityscapes test/2D Classification/rPC [%]Cityscapes test/2D Object Detection/AP Cityscapes test/2D Object Detection/Maximum F-measure Cityscapes test/2D Object Detection/mPC [AP]Cityscapes test/2D Object Detection/rPC [%]Cityscapes test/2D Semantic Segmentation/mIoU Cityscapes test/3D/RMSE Cityscapes test/3D/mPC [AP]Cityscapes test/3D/rPC [%]Cityscapes test/Depth Estimation/RMSE Cityscapes test/Edge Detection/AP Cityscapes test/Edge Detection/Maximum F-measure Cityscapes test/Instance Segmentation/AP Cityscapes test/Instance Segmentation/mask AP Cityscapes test/Multi-Task Learning/RMSE Cityscapes test/Multi-Task Learning/mIoU Cityscapes test/Object Detection/mPC [AP]Cityscapes test/Object Detection/rPC [%]Cityscapes test/Panoptic Segmentation/PQ Cityscapes test/Scene Parsing/mIoU Cityscapes test/Semantic Segmentation/Accuracy Cityscapes test/Semantic Segmentation/Category mIoU Cityscapes test/Semantic Segmentation/Frame (fps)Cityscapes test/Semantic Segmentation/Mean IoU (class)Cityscapes test/Semantic Segmentation/PQ Cityscapes test/Semantic Segmentation/Pixel Accuracy Cityscapes test/Semantic Segmentation/Time (ms)Cityscapes test/Semantic Segmentation/mIoU Cityscapes test/Transfer Learning/RMSE Cityscapes test/Transfer Learning/mIoU Cityscapes test/Unsupervised Semantic Segmentation/Accuracy Cityscapes test/Unsupervised Semantic Segmentation/Pixel Accuracy Cityscapes test/Unsupervised Semantic Segmentation/mIoU Cityscapes to ACDC/Domain Adaptation/mIoU Cityscapes to ACDC/Domain Generalization/mIoU Cityscapes to ACDC/Source-Free Domain Adaptation/mIoU Cityscapes to Dark Zurich/Domain Adaptation/mIoU Cityscapes to Dark Zurich/Source-Free Domain Adaptation/mIoU Cityscapes to Foggy Cityscapes/16k/mAP Cityscapes to Foggy Cityscapes/2D Classification/mAP Cityscapes to Foggy Cityscapes/2D Object Detection/mAP Cityscapes to Foggy Cityscapes/3D/mAP Cityscapes to Foggy Cityscapes/Domain Adaptation/AP50 Cityscapes to Foggy Cityscapes/Domain Adaptation/mAP@0.5 Cityscapes to Foggy Cityscapes/Object Detection/mAP Cityscapes to Foggy Cityscapes/Source-Free Domain Adaptation/AP50 Cityscapes to Foggy Cityscapes/Unsupervised Domain Adaptation/mAP@0.5 Cityscapes val/10-shot image generation/AP Cityscapes val/10-shot image generation/FPS Cityscapes val/10-shot image generation/Frame (fps)Cityscapes val/10-shot image generation/PQ Cityscapes val/10-shot image generation/PQst Cityscapes val/10-shot image generation/PQth Cityscapes val/10-shot image generation/RQ Cityscapes val/10-shot image generation/SQ Cityscapes val/10-shot image generation/Time (ms)Cityscapes val/10-shot image generation/Validation mIoU Cityscapes val/10-shot image generation/mIoU Cityscapes val/10-shot image generation/pixel accuracy Cityscapes val/2D Semantic Segmentation/mIoU Cityscapes val/Instance Segmentation/AP Cityscapes val/Instance Segmentation/AP50 Cityscapes val/Instance Segmentation/mask AP Cityscapes val/Interactive Segmentation/Instance Average IoU Cityscapes val/Panoptic Segmentation/AP Cityscapes val/Panoptic Segmentation/PQ Cityscapes val/Panoptic Segmentation/PQst Cityscapes val/Panoptic Segmentation/PQth Cityscapes val/Panoptic Segmentation/RQ Cityscapes val/Panoptic Segmentation/SQ Cityscapes val/Panoptic Segmentation/mIoU Cityscapes val/Scene Parsing/mIoU Cityscapes val/Scene Understanding/mIoU Cityscapes val/Semantic Segmentation/AP Cityscapes val/Semantic Segmentation/FPS Cityscapes val/Semantic Segmentation/Frame (fps)Cityscapes val/Semantic Segmentation/PQ Cityscapes val/Semantic Segmentation/PQst Cityscapes val/Semantic Segmentation/PQth Cityscapes val/Semantic Segmentation/RQ Cityscapes val/Semantic Segmentation/SQ Cityscapes val/Semantic Segmentation/Time (ms)Cityscapes val/Semantic Segmentation/Validation mIoU Cityscapes val/Semantic Segmentation/mIoU Cityscapes val/Semantic Segmentation/pixel accuracy Cityscapes val/Unsupervised Semantic Segmentation/mIoU Cityscapes val/Unsupervised Semantic Segmentation/pixel accuracy Cityscapes val/Video Semantic Segmentation/mIoU Cityscapes with extra (no coarse labels)/10-shot image generation/Validation mIoU Cityscapes with extra (no coarse labels)/Semantic Segmentation/Validation mIoU Cityscapes-25K 256x512/Image Generation/FID Cityscapes-5K 256x512/Image Generation/FID Cityscapes-VPS/10-shot image generation/VPQ Cityscapes-VPS/10-shot image generation/VPQ (stuff)Cityscapes-VPS/10-shot image generation/VPQ (thing)Cityscapes-VPS/Panoptic Segmentation/VPQ Cityscapes-VPS/Panoptic Segmentation/VPQ (stuff)Cityscapes-VPS/Panoptic Segmentation/VPQ (thing)Cityscapes-VPS/Semantic Segmentation/VPQ Cityscapes-VPS/Semantic Segmentation/VPQ (stuff)Cityscapes-VPS/Semantic Segmentation/VPQ (thing)Cityscapes-to-Foggy Cityscapes/1 Image, 2*2 Stitching/mAP Cityscapes-to-Foggy Cityscapes/16k/mAP Cityscapes-to-Foggy Cityscapes/2D Classification/mAP Cityscapes-to-Foggy Cityscapes/2D Object Detection/mAP Cityscapes-to-Foggy Cityscapes/3D/mAP Cityscapes-to-Foggy Cityscapes/Image Generation/mAP Cityscapes-to-Foggy Cityscapes/Image-to-Image Translation/mAP Cityscapes-to-Foggy Cityscapes/Object Detection/mAP Cityscapes-to-FoggyDriving/Domain Adaptation/mIoU Cityscapes-to-FoggyDriving/Foggy Scene Segmentation/mIoU Cityscapes-to-FoggyZurich/Domain Adaptation/mIoU Cityscapes-to-OxfordCar/Domain Adaptation/mIoU Cityscapes-to-OxfordCar/Unsupervised Domain Adaptation/mIoU

Statistics

Papers: 3,702
Benchmarks: 31

Links

Tasks

10-shot image generation 16k 2D Classification 2D Object Detection 2D Panoptic Segmentation 2D Semantic Segmentation 3D Class Incremental Learning Class-Incremental Semantic Segmentation Continual Learning Depth Estimation Domain 1-1 Domain 11-1 Domain 11-5 Domain Generalization Edge Detection Federated Learning Image Generation Image-to-Image Translation Instance Segmentation Interactive Segmentation Knowledge Distillation Monocular Depth Estimation Multi-Task Learning Object Detection Open Vocabulary Semantic Segmentation Overlapped 10-1 Overlapped 14-1 Panoptic Segmentation Real-Time Semantic Segmentation Real-time Instance Segmentation Robust Object Detection Scene Parsing Semantic Segmentation Semi-Supervised Instance Segmentation Semi-Supervised Semantic Segmentation Unsupervised Monocular Depth Estimation Unsupervised Panoptic Segmentation Unsupervised Semantic Segmentation Unsupervised Semantic Segmentation with Language-image Pre-training Video Video Prediction Video Semantic Segmentation Weakly-Supervised Semantic Segmentation