Datasets:

ckotait
/

ATRDataset

@@ -29,7 +29,7 @@ configs:
 # Dataset Card for Dataset Name
-We used the \href{https://arxiv.org/abs/1503.02391}{ATR Dataset} for this task. The Active Template Regression (ATR) dataset comprises 18 semantic category labels, encompassing items such as 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. Following the approach outlined in \cite{zhang2020correlating}, 16,000 images were designated for training, 1,000 for testing, and 700 for validation.
 ## Dataset Details
@@ -39,126 +39,85 @@ We used the \href{https://arxiv.org/abs/1503.02391}{ATR Dataset} for this task.
-- **Curated by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
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 ### Dataset Sources [optional]
 <!-- Provide the basic links for the dataset. -->
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
 ## Uses
-<!-- Address questions around how the dataset is intended to be used. -->
 ### Direct Use
-<!-- This section describes suitable use cases for the dataset. -->
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-### Out-of-Scope Use
-<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
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 ## Dataset Structure
-<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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-## Dataset Creation
-### Curation Rationale
-<!-- Motivation for the creation of this dataset. -->
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-### Source Data
-<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
-#### Data Collection and Processing
-<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
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-#### Who are the source data producers?
-<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
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-### Annotations [optional]
-<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
-#### Annotation process
-<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
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-#### Who are the annotators?
-<!-- This section describes the people or systems who created the annotations. -->
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-#### Personal and Sensitive Information
-<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
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-## Bias, Risks, and Limitations
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-### Recommendations
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-Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
-## Citation [optional]
-<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
 **BibTeX:**
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-## Glossary [optional]
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 ## Dataset Card Authors [optional]
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 # Dataset Card for Dataset Name
+We used the \href{https://arxiv.org/abs/1503.02391}{ATR Dataset} for this task. The Active Template Regression (ATR) dataset comprises 18 semantic category labels, encompassing items such as 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.
 ## Dataset Details
+- **Curated by:** Xiaodan Liang, Si Liu, Xiaohui Shen, Jianchao Yang, Luoqi Liu, Jian Dong, Liang Lin, Shuicheng Yan
+- **Shared by [optional]:** Xiaodan Liang, Si Liu, Xiaohui Shen, Jianchao Yang, Luoqi Liu, Jian Dong, Liang Lin, Shuicheng Yan
+- **License:** MIT
 ### Dataset Sources [optional]
 <!-- Provide the basic links for the dataset. -->
+- **Repository:** https://github.com/lemondan/HumanParsing-Dataset
+- **Paper [optional]:** Deep Human Parsing with Active Template Regression
 ## Uses
+Semantic segmentation
 ### Direct Use
+Human Body Parsing
 ## Dataset Structure
+dataset/
+|-- train/
+|   |-- images/
+|   |   |-- image1.jpg
+|   |   |-- image2.jpg
+|   |   |-- ...
+|   |
+|   |-- masks/
+|       |-- mask1.jpg
+|       |-- mask2.jpg
+|       |-- ...
+|
+|-- test/
+|   |-- images/
+|   |   |-- test_image1.jpg
+|   |   |-- test_image2.jpg
+|   |   |-- ...
+|   |
+|   |-- masks/
+|       |-- test_mask1.jpg
+|       |-- test_mask2.jpg
+|       |-- ...
+## Human Parsing Labels
+- 0: **background**
+- 1: **hat**
+- 2: **hair**
+- 3: **sunglasses**
+- 4: **upperclothes**
+- 5: **skirt**
+- 6: **pants**
+- 7: **dress**
+- 8: **belt**
+- 9: **leftshoe**
+- 10: **rightshoe**
+- 11: **face**
+- 12: **leftleg**
+- 13: **rightleg**
+- 14: **leftarm**
+- 15: **rightarm**
+- 16: **bag**
+- 17: **scarf**
 **BibTeX:**
+@article{liang2015deep,
+  title={Deep human parsing with active template regression},
+  author={Liang, Xiaodan and Liu, Si and Shen, Xiaohui and Yang, Jianchao and Liu, Luoqi and Dong, Jian and Lin, Liang and Yan, Shuicheng},
+  journal={IEEE transactions on pattern analysis and machine intelligence},
+  volume={37},
+  number={12},
+  pages={2402--2414},
+  year={2015},
+  publisher={IEEE}
+}
 ## Dataset Card Authors [optional]
+Christian Kotait