Images

CityPersons

Introduced in CityPersons: A Diverse Dataset for Pedestrian Detection2016

About this 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.

Source: NMS by Representative Region: Towards Crowded Pedestrian Detection by Proposal Pairing Image Source: https://github.com/CharlesShang/Detectron-PYTORCH/tree/master/data/citypersons

Source: CityPersons: A Diverse Dataset for Pedestrian Detection

Dataset Variants

CityPersons

Papers1

CityPersons: A Diverse Dataset for Pedestrian Detection

This work revisits CNN design and point out key adaptations, enabling plain FasterRCNN to obtain state-of-the-art results on the Caltech dataset, and introduces CityPersons, a new set of person annotations on top of the Cityscapes dataset, to achieve further improvement from more and better data.

Dataset Loaders

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CharlesShang/Detectron-PYTORCH

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Tasks

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Object Detection Pedestrian Detection

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