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--- |
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dataset_info: |
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features: |
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- name: pixel_values |
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dtype: image |
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- name: label |
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dtype: image |
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splits: |
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- name: train |
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num_bytes: 674327851.666 |
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num_examples: 16706 |
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- name: validation |
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num_bytes: 46935738.0 |
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num_examples: 1000 |
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download_size: 797140406 |
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dataset_size: 721263589.666 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: validation |
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path: data/validation-* |
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--- |
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# Dataset Card for Dataset Name |
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The Active Template Regression (ATR) dataset comprises 18 semantic category labels, including face, sunglasses, hat, scarf, hair, upper clothes, left arm, right arm, belt, pants, left leg, right leg, skirt, left shoe, right shoe, bag, dress, and background. A total of 17,700 images were incorporated into the ATR dataset. 16,700 images were designated for training, and 1,000 for testing. |
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- **Curated by:** Xiaodan Liang, Si Liu, Xiaohui Shen, Jianchao Yang, Luoqi Liu, Jian Dong, Liang Lin, Shuicheng Yan |
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- **Shared by:** Xiaodan Liang, Si Liu, Xiaohui Shen, Jianchao Yang, Luoqi Liu, Jian Dong, Liang Lin, Shuicheng Yan |
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- **License:** MIT |
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# Dataset Sources |
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- **Repository:** https://github.com/lemondan/HumanParsing-Dataset |
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- **Paper:** Deep Human Parsing with Active Template Regression |
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# Human Parsing Labels |
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- 0: **background** |
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- 1: **hat** |
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- 2: **hair** |
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- 3: **sunglasses** |
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- 4: **upperclothes** |
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- 5: **skirt** |
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- 6: **pants** |
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- 7: **dress** |
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- 8: **belt** |
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- 9: **leftshoe** |
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- 10: **rightshoe** |
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- 11: **face** |
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- 12: **leftleg** |
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- 13: **rightleg** |
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- 14: **leftarm** |
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- 15: **rightarm** |
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- 16: **bag** |
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- 17: **scarf** |
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# Uses |
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Semantic segmentation, and more specifically, human body parsing. |
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# Dataset Card Authors |
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Christian Kotait |
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**BibTeX:** |
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@article{liang2015deep, |
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title={Deep human parsing with active template regression}, |
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author={Liang, Xiaodan and Liu, Si and Shen, Xiaohui and Yang, Jianchao and Liu, Luoqi and Dong, Jian and Lin, Liang and Yan, Shuicheng}, |
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journal={IEEE transactions on pattern analysis and machine intelligence}, |
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volume={37}, |
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number={12}, |
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pages={2402--2414}, |
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year={2015}, |
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publisher={IEEE} |
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} |
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