citypersons dataset

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CityPersons: A Diverse Dataset for Pedestrian Detection

Convnets have enabled significant progress in pedestrian detection recently but there are still open questions regard-ing suitable architectures and training data We revisit CNN design and point out key adaptations enabling plain Fas-terRCNN to obtain state-of-the-art results on the Caltech dataset To achieve further improvement from more and b

What is the citypersons dataset?
The CityPersons dataset is a subset of Cityscapes which only consists of person annotations. There are 2975 images for training, 500 and 1575 images for validation and testing. The average of the number of pedestrians in an image is 7. The visible-region and full-body annotations are provided.
What is the cityscapes dataset?
The Cityscapes dataset was created for the task of se-mantic segmentation in urban street scenes. It consists of a large and diverse set of stereo video sequences recorded in streets from different cities in Germany and neighbouring countries. Fine pixel-level annotations of 30 visual classes are provided for 5 000 images from 27 cities.
What is citypersons?
To achieve further improvement from more and better data, we introduce CityPersons, a new set of person annotations on top of the Cityscapes dataset. The diversity of CityPersons allows us for the first time to train one single CNN model that generalizes well over multiple benchmarks.
How many pedestrians are in a cityscape image?
The average of the number of pedestrians in an image is 7. The visible-region and full-body annotations are provided. The CityPersons dataset is a subset of Cityscapes which only consists of person annotations. There are 2975 images for training, 500 and 1575 images for validation and testing.

Abstract

Convnets have enabled significant progress in pedestrian detection recently, but there are still open questions regard-ing suitable architectures and training data. We revisit CNN design and point out key adaptations, enabling plain Fas-terRCNN to obtain state-of-the-art results on the Caltech dataset. To achieve further improvement from more and b

5. Summary

In this paper, we first show that a properly adapted FasterRCNN can achieve state-of-the-art performance on Caltech. Aiming for further improvement from more and better data, we propose a new diverse dataset namely CityPersons by providing bounding box annotations for persons on top of Cityscapes dataset. CityPersons shows high contrast to previous

C. Analysis of CityPersons annotations

In this section, we provide some analysis regarding the height statistics and quality of CityPersons annotations. arxiv.org

PDF	CityPersons: A Diverse Dataset for Pedestrian Detection - Shanshan To achieve further improvement from more and better data we introduce CityPersons

PDF	CityPersons: A Diverse Dataset for Pedestrian Detection We introduce CityPersons a new set of high quality bounding box annotations for pedestrian detection on the. Cityscapes dataset (train

PDF	CityPersons: A Diverse Dataset for Pedestrian Detection 19 févr. 2017 We introduce CityPersons a new set of high quality bounding box annotations for pedestrian detection on the. Cityscapes dataset (train ...

PDF	Generalizable Pedestrian Detection: The Elephant in the Room uation on Caltech [12] vs. cross-dataset evaluation for three pedestrian detectors and one general CityPersons [50] is a more diverse dataset compared.

PDF	WiderPerson: A Diverse Dataset for Dense Pedestrian Detection in 25 sept. 2019 Several experiments are conducted on previous datasets including Caltech-USA and. CityPersons to analyze the generalization capabilities of the.

PDF	Generalizable Pedestrian Detection: The Elephant In The Room 9 déc. 2020 CityPersons dataset has roughly. 31k annotated bounding boxes and its training valida- tion and testing sets contain 2

PDF	Mask-Guided Attention Network for Occluded Pedestrian Detection 15 oct. 2019 CityPersons and Caltech datasets. Our approach sets a new ... For instance CityPersons [31] dataset has around.

PDF	Cascaded Cross-Layer Fusion Network for Pedestrian Detection

PDF	Deep Multi-Task Networks For Occluded Pedestrian Pose Estimation 8 août 2022 cluded pedestrian as the annotations of the occluded parts are not available in relevant automotive datasets. For example

PDF	Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd

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PDF	CityPersons: A Diverse Dataset for Pedestrian - CVF Open Access CityPersons: A Diverse Dataset for Pedestrian Detection Supplementary material Shanshan Zhang1,2, Rodrigo Benenson2, Bernt Schiele2 1School of

PDF	The EuroCity Persons Dataset: A Novel Benchmark - ResearchGate See Table 1 for an overview of the main person detection benchmarks in vehicle context In terms of the annotation quantity and data diversity, CityPersons [4] and

PDF	NightOwls: A Pedestrians at Night Dataset - University of Oxford night dataset may further advance the research of pedestrian detection, as well as The CityPersons dataset [23] consists of a large and diverse set of stereo

PDF	NMS by Representative Region: Towards Crowded - 腾讯AI Lab CrowdHuman [20] and CityPersons [24] benchmarks suffi- ciently validate the For CityPersons dataset, we follow the settings in adapted Faster R-CNN

PDF	Joint Holistic and Partial CNN for Pedestrian Detection - BMVC 2018 Our detector outperforms the state-of-the-art methods on both CityPersons dataset and Precarious Pedestrian dataset, which demonstrates the effectiveness of

PDF	When Pedestrian Detection Meets Nighttime Surveillance: A - IJCAI CityPersons [Zhang et al , 2017] annotated 31k pedestrians and 5k images Pedestrian detection datasets at daytime have been comprehensive, leading to

PDF	Impact of Video Compression on the Performance of Object - KTH CityScapes/CityPersons dataset The Caltech benchmark evaluation method is used for comparing the detection performance of the detectors The HEVC and