Crowd Instance-level Human Parsing (CIHP) Dataset

by Ke Gong,Xiaodan Liang,Dongyu Zhang,Xiaohui Shen,Liang LinUnknown

Crowd Instance-level Human Parsing (CIHP) Dataset

We present a new large-scale dataset focusing on semantic understanding of person. The dataset is an order of magnitude larger and more challenge than similar previous attempts that contains 50,000 images with elaborated pixel-wise annotations with 19 semantic human part labels and 2D human poses with 16 key points. The images collected from the real-world scenarios contain human appearing with challenging poses and views, heavily occlusions, various appearances and low-resolutions. This challenge and benchmark are fully supported by the Human-Cyber-Physical Intelligence Integration Lab of Sun Yat-sen University.

Dataset Attributes

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TasksSegmentation
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CategoriesHumans
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SensorWeb sampling

Class Labels

FaceUpperClothesHairRightArmPantsLeftArmRightShoeLeftShoeHatCoatRightLegLeftLegGlovesSocksSunglassesDressSkirtJumpsuitsScarf