---
license: other
license_name: readmefile
license_link: LICENSE
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
dataset_info:
  features:
  - name: id
    dtype: uint32
  - name: right_eye
    large_list: float64
  - name: right_earbase
    large_list: float64
  - name: right_earend
    large_list: float64
  - name: right_antler_base
    large_list: float64
  - name: right_antler_end
    large_list: float64
  - name: left_antler_base
    large_list: float64
  - name: left_antler_end
    large_list: float64
  - name: left_earbase
    large_list: float64
  - name: left_earend
    large_list: float64
  - name: left_eye
    large_list: float64
  - name: nose
    large_list: float64
  - name: upper_jaw
    large_list: float64
  - name: lower_jaw
    large_list: float64
  - name: mouth_end_right
    large_list: float64
  - name: throat_base
    large_list: float64
  - name: neck_base
    large_list: float64
  - name: neck_end
    large_list: float64
  - name: back_base
    large_list: float64
  - name: back_middle
    large_list: float64
  - name: back_end
    large_list: float64
  - name: tail_base
    large_list: float64
  - name: body_middle_right
    large_list: float64
  - name: bbox
    large_list: float64
  - name: mouth_end_left
    large_list: float64
  - name: throat_end
    large_list: float64
  - name: tail_end
    large_list: float64
  - name: front_left_thai
    large_list: float64
  - name: front_left_knee
    large_list: float64
  - name: front_left_paw
    large_list: float64
  - name: front_right_thai
    large_list: float64
  - name: front_right_paw
    large_list: float64
  - name: front_right_knee
    large_list: float64
  - name: back_left_knee
    large_list: float64
  - name: back_left_paw
    large_list: float64
  - name: back_left_thai
    large_list: float64
  - name: back_right_thai
    large_list: float64
  - name: back_right_paw
    large_list: float64
  - name: back_right_knee
    large_list: float64
  - name: belly_bottom
    large_list: float64
  - name: body_middle_left
    large_list: float64
  - name: name_file
    dtype: large_string
  - name: name_class
    dtype: large_string
  - name: image_base64s
    dtype: large_string
  - name: image_width
    dtype: int64
  - name: image_height
    dtype: int64
  - name: image_license
    dtype: large_string
  splits:
  - name: train
    num_bytes: 1557452015
    num_examples: 9423
  - name: validation
    num_bytes: 82813875
    num_examples: 524
  - name: test
    num_bytes: 87294963
    num_examples: 524
  download_size: 1715582665
  dataset_size: 1727560853
task_categories:
- feature-extraction
tags:
- biology
pretty_name: AwA-Pose-Lite
size_categories:
- 10K<n<100K
---

## **Dataset Summary**

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.

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)

***Original Kaggle dataset:*** [AwA2_dataset](https://www.kaggle.com/datasets/radimkzl/awa2-dataset)

The original data comes from two sources and is described in:

- [A Novel Dataset for Keypoint Detection of
Quadruped Animals from Images](https://arxiv.org/pdf/2108.13958)
- [GitHub:  prinik/AwA-Pose](https://github.com/prinik/AwA-Pose/tree/main)
- [Animals with Attributes 2](https://cvml.ista.ac.at/AwA2/)

*The dataset contains:*
- Lite version of keypoints dataset
- Full version of keypoints dataset

*All version contains:*
- train dataset: 90%
- validation dataset: 5%
- test dataset: 5%

## **Description of data in the dataset**

*Class names:*
- antelope 
- bobcat
- buffalo
- chihuahua
- collie
- cow
- dalmatian
- deer
- elephant
- fox
- german+shepherd
- giant+panda
- giraffe
- grizzly+bear
- hippopotamus
- horse
- leopard
- lion
- moose
- otter
- ox
- persian+cat
- pig
- polar+bear
- rabbit
- raccoon
- rhinoceros
- sheep
- siamese+cat
- squirrel
- tiger
- weasel
- wolf
- zebra

## **Columns description**

| name column| description of column                |
|:--------------|:--------------------------------|
| id | id number of records |
| right_eye | keypoint values [x,y] |
| right_earbase | keypoint values [x,y] |
| right_earend | keypoint values [x,y] |
| right_antler_base | keypoint values [x,y] |
| right_antler_end | keypoint values [x,y] |
| left_antler_base | keypoint values [x,y] |
| left_antler_end | keypoint values [x,y] |
| left_earbase |  keypoint values [x,y] |
| left_earend |  keypoint values [x,y] |
| left_eye | keypoint values [x,y] |
| nose | keypoint values [x,y] |
| upper_jaw | keypoint values [x,y] |
| lower_jaw | keypoint values [x,y] |
| mouth_end_right | keypoint values [x,y] |
| throat_base | keypoint values [x,y] |
| neck_base | keypoint values [x,y] |
| neck_end | keypoint values [x,y] |
| back_base | keypoint values [x,y] |
| back_middle | keypoint values [x,y] |
| back_end | keypoint values [x,y] |
| tail_base | keypoint values [x,y] |
| body_middle_right | keypoint values [x,y] |
| bbox | bounding box dimension [x1, y1, x2, y2] |
| mouth_end_left | keypoint values [x,y] |
| throat_end | keypoint values [x,y] |
| tail_end | keypoint values [x,y] |
| front_left_thai | keypoint values [x,y] |
| front_left_knee | keypoint values [x,y] |
| front_left_paw | keypoint values [x,y] |
| front_right_thai | keypoint values [x,y] |
| front_right_paw | keypoint values [x,y] |
| front_right_knee | keypoint values [x,y] |
| back_left_knee | keypoint values [x,y] |
| back_left_paw | keypoint values [x,y] |
| back_left_thai | keypoint values [x,y] |
| back_right_thai | keypoint values [x,y] |
| back_right_paw | keypoint values [x,y] |
| back_right_knee | keypoint values [x,y] |
| belly_bottom | keypoint values [x,y] |
| body_middle_left | keypoint values [x,y] |
| name_file | name of file as string |
| name_class | name of class as string |
| image_base64s | image as string Base64 |
| image_width | value of with of image |
| image_height | value of height of image |
| image_license | text of licence of image |

## **Notes on data**

> 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.

> Images are stored as a Base64 string. They can be transformed using the function:

```python
import base64
import io
from PIL import Image

def base64_to_img(base64_str):
    img_bytes = base64.b64decode(base64_str)
    img_buffer = io.BytesIO(img_bytes)
    img = Image.open(img_buffer)
    
    return img
```

Find out more in [AwA2_dataset_analysis](https://www.kaggle.com/code/radimkzl/awa2-dataset-analysis#Create-AwA2-dataset-for-Hugging-Face...)

## **Licensing Information**

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).

The license for the images is according to [Animals with Attributes 2](https://cvml.ista.ac.at/AwA2/), see data column `image_license `.