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CIHP

Crowd Instance-level Human Parsing

Introduced in Instance-level Human Parsing via Part Grouping Network2017

About this Dataset

The Crowd Instance-level Human Parsing (CIHP) dataset has 38,280 diverse human images. Each image in CIHP is labeled with pixel-wise annotations on 20 categories and instance-level identification. The dataset can be used for the human part segmentation task.

Source: Parsing R-CNN for Instance-Level Human Analysis Image Source: https://arxiv.org/abs/1808.00157

Source: Instance-level Human Parsing via Part Grouping Network

Dataset Variants

CIHP

Papers1

Instance-level Human Parsing via Part Grouping Network

This work makes the first attempt to explore a detection-free Part Grouping Network (PGN) for efficiently parsing multiple people in an image in a single pass and outperforms all state-of-the-art methods on PASCAL-Person-Part dataset.

Dataset Loaders

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Graviti-AI/datasets

tfpytorch

Tasks

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Human Part Segmentation

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Statistics

Papers

1

Tasks

4

Introduced

2017

License

Unknown

Modalities

Images