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--- |
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license: other |
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license_name: readmefile |
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license_link: LICENSE |
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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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- split: test |
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path: data/test-* |
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dataset_info: |
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features: |
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- name: id |
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dtype: uint32 |
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- name: right_eye |
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large_list: float64 |
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- name: right_earbase |
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large_list: float64 |
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- name: right_earend |
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large_list: float64 |
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- name: right_antler_base |
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large_list: float64 |
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- name: right_antler_end |
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large_list: float64 |
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- name: left_antler_base |
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large_list: float64 |
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- name: left_antler_end |
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large_list: float64 |
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- name: left_earbase |
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large_list: float64 |
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- name: left_earend |
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large_list: float64 |
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- name: left_eye |
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large_list: float64 |
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- name: nose |
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large_list: float64 |
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- name: upper_jaw |
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large_list: float64 |
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- name: lower_jaw |
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large_list: float64 |
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- name: mouth_end_right |
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large_list: float64 |
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- name: throat_base |
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large_list: float64 |
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- name: neck_base |
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large_list: float64 |
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- name: neck_end |
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large_list: float64 |
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- name: back_base |
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large_list: float64 |
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- name: back_middle |
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large_list: float64 |
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- name: back_end |
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large_list: float64 |
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- name: tail_base |
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large_list: float64 |
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- name: body_middle_right |
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large_list: float64 |
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- name: bbox |
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large_list: float64 |
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- name: mouth_end_left |
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large_list: float64 |
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- name: throat_end |
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large_list: float64 |
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- name: tail_end |
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large_list: float64 |
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- name: front_left_thai |
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large_list: float64 |
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- name: front_left_knee |
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large_list: float64 |
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- name: front_left_paw |
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large_list: float64 |
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- name: front_right_thai |
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large_list: float64 |
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- name: front_right_paw |
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large_list: float64 |
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- name: front_right_knee |
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large_list: float64 |
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- name: back_left_knee |
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large_list: float64 |
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- name: back_left_paw |
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large_list: float64 |
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- name: back_left_thai |
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large_list: float64 |
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- name: back_right_thai |
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large_list: float64 |
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- name: back_right_paw |
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large_list: float64 |
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- name: back_right_knee |
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large_list: float64 |
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- name: belly_bottom |
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large_list: float64 |
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- name: body_middle_left |
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large_list: float64 |
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- name: name_file |
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dtype: large_string |
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- name: name_class |
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dtype: large_string |
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- name: image_base64s |
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dtype: large_string |
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- name: image_width |
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dtype: int64 |
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- name: image_height |
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dtype: int64 |
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- name: image_license |
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dtype: large_string |
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splits: |
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- name: train |
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num_bytes: 1557452015 |
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num_examples: 9423 |
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- name: validation |
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num_bytes: 82813875 |
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num_examples: 524 |
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- name: test |
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num_bytes: 87294963 |
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num_examples: 524 |
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download_size: 1715582665 |
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dataset_size: 1727560853 |
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task_categories: |
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- feature-extraction |
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tags: |
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- biology |
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pretty_name: AwA-Pose-Lite |
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size_categories: |
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- 10K<n<100K |
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--- |
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## **Dataset Summary** |
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AwA Pose, a quadrupedal keypoint detection dataset that offers richer annotations and greater species diversity than existing datasets. The data supports efficiency, advances in research on generalized keypoint detection in animals. |
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The dataset was explored, filtered, and stored in a [pyarrow type](https://arrow.apache.org/docs/python/index.html). See : [AwA2_dataset_analysis](https://www.kaggle.com/code/radimkzl/awa2-dataset-analysis) |
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***Original Kaggle dataset:*** [AwA2_dataset](https://www.kaggle.com/datasets/radimkzl/awa2-dataset) |
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The original data comes from two sources and is described in: |
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- [A Novel Dataset for Keypoint Detection of |
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Quadruped Animals from Images](https://arxiv.org/pdf/2108.13958) |
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- [GitHub: prinik/AwA-Pose](https://github.com/prinik/AwA-Pose/tree/main) |
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- [Animals with Attributes 2](https://cvml.ista.ac.at/AwA2/) |
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*The dataset contains:* |
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- Lite version of keypoints dataset |
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- Full version of keypoints dataset |
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*All version contains:* |
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- train dataset: 90% |
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- validation dataset: 5% |
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- test dataset: 5% |
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## **Description of data in the dataset** |
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*Class names:* |
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- antelope |
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- bobcat |
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- buffalo |
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- chihuahua |
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- collie |
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- cow |
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- dalmatian |
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- deer |
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- elephant |
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- fox |
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- german+shepherd |
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- giant+panda |
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- giraffe |
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- grizzly+bear |
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- hippopotamus |
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- horse |
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- leopard |
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- lion |
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- moose |
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- otter |
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- ox |
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- persian+cat |
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- pig |
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- polar+bear |
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- rabbit |
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- raccoon |
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- rhinoceros |
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- sheep |
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- siamese+cat |
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- squirrel |
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- tiger |
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- weasel |
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- wolf |
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- zebra |
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## **Columns description** |
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| name column| description of column | |
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|:--------------|:--------------------------------| |
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| id | id number of records | |
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| right_eye | keypoint values [x,y] | |
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| right_earbase | keypoint values [x,y] | |
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| right_earend | keypoint values [x,y] | |
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| right_antler_base | keypoint values [x,y] | |
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| right_antler_end | keypoint values [x,y] | |
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| left_antler_base | keypoint values [x,y] | |
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| left_antler_end | keypoint values [x,y] | |
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| left_earbase | keypoint values [x,y] | |
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| left_earend | keypoint values [x,y] | |
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| left_eye | keypoint values [x,y] | |
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| nose | keypoint values [x,y] | |
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| upper_jaw | keypoint values [x,y] | |
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| lower_jaw | keypoint values [x,y] | |
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| mouth_end_right | keypoint values [x,y] | |
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| throat_base | keypoint values [x,y] | |
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| neck_base | keypoint values [x,y] | |
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| neck_end | keypoint values [x,y] | |
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| back_base | keypoint values [x,y] | |
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| back_middle | keypoint values [x,y] | |
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| back_end | keypoint values [x,y] | |
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| tail_base | keypoint values [x,y] | |
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| body_middle_right | keypoint values [x,y] | |
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| bbox | bounding box dimension [x1, y1, x2, y2] | |
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| mouth_end_left | keypoint values [x,y] | |
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| throat_end | keypoint values [x,y] | |
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| tail_end | keypoint values [x,y] | |
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| front_left_thai | keypoint values [x,y] | |
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| front_left_knee | keypoint values [x,y] | |
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| front_left_paw | keypoint values [x,y] | |
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| front_right_thai | keypoint values [x,y] | |
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| front_right_paw | keypoint values [x,y] | |
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| front_right_knee | keypoint values [x,y] | |
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| back_left_knee | keypoint values [x,y] | |
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| back_left_paw | keypoint values [x,y] | |
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| back_left_thai | keypoint values [x,y] | |
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| back_right_thai | keypoint values [x,y] | |
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| back_right_paw | keypoint values [x,y] | |
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| back_right_knee | keypoint values [x,y] | |
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| belly_bottom | keypoint values [x,y] | |
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| body_middle_left | keypoint values [x,y] | |
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| name_file | name of file as string | |
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| name_class | name of class as string | |
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| image_base64s | image as string Base64 | |
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| image_width | value of with of image | |
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| image_height | value of height of image | |
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| image_license | text of licence of image | |
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## **Notes on data** |
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> If a *keypoints* contains `[-1.0, -1.0]`, it means that the point is not visible in the image. These points must be masked when training the model. |
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> Images are stored as a Base64 string. They can be transformed using the function: |
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```python |
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import base64 |
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import io |
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from PIL import Image |
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def base64_to_img(base64_str): |
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img_bytes = base64.b64decode(base64_str) |
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img_buffer = io.BytesIO(img_bytes) |
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img = Image.open(img_buffer) |
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return img |
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``` |
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Find out more in [AwA2_dataset_analysis](https://www.kaggle.com/code/radimkzl/awa2-dataset-analysis#Create-AwA2-dataset-for-Hugging-Face...) |
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## **Licensing Information** |
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Data for keypoints is licensed according to [GitHub: prinik/AwA-Pose](https://github.com/prinik/AwA-Pose/tree/main), this license is [MIT](https://github.com/prinik/AwA-Pose/tree/main?tab=MIT-1-ov-file#readme). |
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The license for the images is according to [Animals with Attributes 2](https://cvml.ista.ac.at/AwA2/), see data column `image_license `. |
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