A Novel Dataset for Keypoint Detection of quadruped Animals from Images
Paper
• 2108.13958 • Published
Datasets:
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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. See : AwA2_dataset_analysis
Original Kaggle dataset: AwA2_dataset
The original data comes from two sources and is described in:
- A Novel Dataset for Keypoint Detection of Quadruped Animals from Images
- GitHub: prinik/AwA-Pose
- Animals with Attributes 2
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 |
| left_antlerbase | keypoint values [x,y] |
| left_antlerend | keypoint values [x,y] |
| right_antlerend | keypoint values [x,y] |
| right_antlerbase | keypoint values [x,y] |
| neckbase | keypoint values [x,y] |
| neckend | keypoint values [x,y] |
| backbase | keypoint values [x,y] |
| backmiddle | keypoint values [x,y] |
| backend | keypoint values [x,y] |
| tailend | keypoint values [x,y] |
| bellybottom | keypoint values [x,y] |
| back_right_pi | keypoint values [x,y] |
| tail_e | keypoint values [x,y] |
| left_eara | keypoint values [x,y] |
| right_earE | keypoint values [x,y] |
| right_earea | keypoint values [x,y] |
| left_ear_base | keypoint values [x,y] |
| left_ear_end | keypoint values [x,y] |
| right_ear_end | keypoint values [x,y] |
| right_ear_base | keypoint values [x,y] |
| tail_ea | keypoint values [x,y] |
| wither | keypoint values [x,y] |
| throat | keypoint values [x,y] |
| left_ey | keypoint values [x,y] |
| throat_be | keypoint values [x,y] |
| tail_be | keypoint values [x,y] |
| back_left_ta | keypoint values [x,y] |
| 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:
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
Licensing Information
Data for keypoints is licensed according to GitHub: prinik/AwA-Pose, this license is MIT.
The license for the images is according to Animals with Attributes 2, see data column image_license .
- Downloads last month
- 10
Size of downloaded dataset files:
1.72 GB
Size of the auto-converted Parquet files:
1.72 GB
Number of rows:
10,471