Original Datasets


All original datasets have been uploaded to google drive.

Link: https://drive.google.com/drive/folders/1Xl91gElRDcX4jXzv0oHvZSYU7M--kMtf?usp=sharing

Other dataset and its detail information👇

https://www.notion.so/noahzhy/Dataset-ec0e467505324ad3a744eaeed51c58f3

Human part segmentation


I summarized some datasets about human body segmentation as follows, but no suitable dataset can be used directly. Some datasets such as ‘Look in Person (LIP)’ labeled human parts by clothing labels. There would be no specific labels on limbs if the body part was covered by clothing.

The PASCAL Person-part dataset was widely used in papers, but it only labels seven human body parts, and it does not distinguish between left and right limbs. It labels the lower leg and foot as one class and the head and neck as one class.

Therefore, I re-divided this dataset into 14 body parts, and also I have fixed some wrong labels of the original dataset.

14 body-part in revision dataset:

head, torso,

left upper arm, left lower arm, left hand,

right upper arm, right lower arm, right hand,

left upper leg, left lower leg, left foot,

right upper leg, right lower leg, right foot,

Snipaste_2022-01-27_03-37-41.png

Comparison

Snipaste_2022-01-27_03-34-13.png

Human Parsing Dataset

Dataset Person/pic Recommend Total Trainset Valset Testset Detail classes Download
PASCAL Person Part 2.2 3,533 1,716 N/A 1,817 no distinction between left and right limbs 7 http://liangchiehchen.com/data/pascal_person_part.zip
PASCAL Person Part revision - ✔ 3,589 TBD TBD TBD without neck 14 https://drive.google.com/file/d/1bA4tGXU7jOUENqNjWg_zSenp_lA-l6ZA/view?usp=sharing
MHP 3 4,980 3,000 1,000 980 many clothing labels 19 https://lv-mhp.github.io/dataset
ATR 1 17,700 16,000 700 1,000 many clothing labels 18 https://drive.google.com/drive/folders/1_RR7FZpnPFIV5gtjLydV0MelI_N1gywW
CIHP 3.4 38,280 28,280 5,000 5,000 many clothing labels 20 https://drive.google.com/drive/folders/1pSj0ypjjqEhE_ti9fc2qDkpxTQUc9BL1
Look in Person (LIP) 1 ✔ 50,462 3,0462 1,0000 1,0000 many clothing labels 19 https://lip.sysuhcp.com/overview.php
Unite the People 1 8,515 5,703 1,423 1,389 31 body parts 31 https://files.is.tuebingen.mpg.de/classner/up/