cityscapes dataset pdf
The Cityscapes Dataset for Semantic Urban Scene Understanding
For semantic urban scene understanding however no current dataset adequately captures the complexity of real-world urban scenes To address this we introduce Cityscapes a benchmark suite and large-scale dataset to train and test approaches for pixel-level and instance-level semantic la-beling |
The Cityscapes Dataset
datasets such as CamVid [1] Leuven [13] and Daimler Urban Segmentation [21] Progress in computer vision in recent years has also been driven by datasets that pushed the boundaries in terms of scale Ex-amples include ImageNet [219] PASCAL VOC [4] and its exten-sions (e g PASCAL-Context [16]) Caltech Pedestrians [3] La- |
What is the Mapillary Vistas Dataset?
The Mapillary Vistas Dataset is a novel, large-scale street-level image dataset containing 25000 high-resolution images annotated into 66 object categories with additional, instance-specific labels for 37 classes, aiming to significantly further the development of state-of-the-art methods for visual road-scene understanding.
What is cityscapes?
Cityscapes is comprised of a large, diverse set of stereo video sequences recorded in streets from 50 different cities. 5000 of these images have high quality pixel-level annotations; 20000 additional images have coarse annotations to enable methods that leverage large volumes of weakly-labeled data.
The Cityscapes Dataset for Semantic Urban Scene Understanding
To address this we introduce Cityscapes |
The Cityscapes Dataset
The labels are encoded in different colors. Note that instances of traffic participants are annotated individually. semantic understanding of urban scenarios is |
The Cityscapes Dataset for Semantic Urban Scene Understanding
To address this we introduce Cityscapes |
The Cityscapes Dataset for Semantic Urban Scene Understanding
The selected datasets are either of large scale or focus on street scenes. B. Class Definitions. Table 8 provides precise definitions of our annotated classes. |
The Cityscapes Dataset for Semantic Urban Scene Understanding
07-Apr-2016 To address this we introduce Cityscapes |
The Cityscapes Dataset for Semantic Urban Scene Understanding
To address this we introduce Cityscapes |
The Cityscapes Dataset
Annotations of a large set of classes and object instances high variability of the urban scenes |
IDD: A Dataset for Exploring Problems of Autonomous Navigation in
State-of-the- art methods for semantic segmentation achieve much lower accuracies on our dataset demonstrating its distinction com- pared to Cityscapes. |
IDD: A Dataset for Exploring Problems of Autonomous Navigation in
26-Nov-2018 Similar to Cityscapes [5] we pro- vide large-scale raw data with multiple cameras and sensors across cities and lighting conditions. But the ... |
ACDC: The Adverse Conditions Dataset with Correspondences for
01-Sept-2021 datasets and Cityscapes [8] as the target dataset. The normal-to-adverse domain adaptation scenario for seman-. |
The Cityscapes Dataset for Semantic Urban Scene Understanding
The major share of those labels was obtained, however, by interpola- tion between a sparse set of manual annotations resulting in significantly degraded label |
Paper - Cityscapes Dataset
To fill this gap, we present ongoing work on creating a novel dataset for semantic urban scene understanding, along with a benchmark of different challenges |
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding datasets in terms of the type of annotations, the meta infor- Stereo, Manual Car Urban |
Semantic Segmentation Datasets for Resource Constrained Training
introduced Cityscapes [5] and India Driving Dataset [16](IDD) which provide finely annotated images to train semantic segmentation models with a focus |
A Review of Neural Network based Semantic Segmentation - CORE
Due to hardware limitations, we train the FCN-8 on a downscaled version of the Cityscapes Dataset, containing urban traffic scenes The evaluation of the results |
AUDI A2D2 dataset
14 avr 2020 · Cityscapes contains 5000 fine labeled images spanning over 30 classes The Mapillary Vistas dataset [7] also provides semantic segmentation |