11k Hands Dataset

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Visualization of the 11k Hands Dataset in the Deep Lake UI

11k Hands dataset

What is 11k Hands Dataset?

The dataset contains detailed ground-truth information for the recognition of gender and biometric identification of hand images.

The human hand has specific traits that might disclose information about gender. Furthermore, one of the key biometric features used to identify a person is the hand. This paper presents a huge collection of human hand photos (both dorsal and palmar sides) with rich ground-truth information for gender recognition and biometric identification in this paper. A convolutional neural network (CNN) may be efficiently trained for the gender recognition task using this dataset.

There are 11,076 hand images (1600 x 1200 pixels) in the 11k Hands dataset, which are of 190 subjects whose ages range from 18 to 75 years old.

Download 11k Hands Dataset in Python

Instead of downloading the 11k Hands dataset in Python, you can effortlessly load it in Python via our Deep Lake open-source with just one line of code.

Load 11k Hands Dataset Training Subset in Python

				
					import deeplake
ds = deeplake.load('hub://activeloop/11k-hands')

11k Hands Dataset Structure

11k Hands Data Fields

image: a tensor containing 11,076 hands images
id: integer to represent image id
age: integer to represent the approximate age of the person
gender: class value to distinguish a male or female person
aspect_of_hand: class value to distinguish between palmer or dorsal hand
nail_polish: class label to identify the presence of nail polish in the hand
irregularities: class label to identify the presence of irregularities in the hand
skin_color: class label to represent ‘fair’, ‘dark’, ‘medium’, ‘very fair’ classes
accessories: label to identify the presence of any accessory on the hand

11k Hands Data Splits

A single split consists of 11,076 hand images (1600 x 1200 pixels) of 190 subjects.

How to use 11k Hands Dataset with PyTorch and TensorFlow in Python

Train a model on 11k Hands dataset with PyTorch in Python

Let’s use Deep Lake built-in PyTorch one-line dataloader to connect the data to the compute:

				
					dataloader = ds.pytorch(num_workers=0, batch_size=4, shuffle=False)

Train a model on 11k Hands dataset with TensorFlow in Python

				
					dataloader = ds.tensorflow()

Additional Information about 11k Hands Dataset

Homepage: https://sites.google.com/view/11khands
Repository: https://github.com/mahmoudnafifi/11K-Hands
Paper: Mahmoud Afifi, “11K Hands: Gender recognition and biometric identification using a large dataset of hand images.” Multimedia Tools and Applications, 2019.
Point of Contact: 1.mailto:[email protected] 2.mailto:[email protected]
Dataset Curators: Mahmoud Afifi

Licensing Information

Deep Lake users may have access to a variety of publicly available datasets. We do not host or distribute these datasets, vouch for their quality or fairness, or claim that you have a license to use the datasets. It is your responsibility to determine whether you have permission to use the datasets under their license.

If you’re a dataset owner and do not want your dataset to be included in this library, please get in touch through a GitHub issue. Thank you for your contribution to the ML community!

Citation Information

				
					  title={11K Hands: gender recognition and biometric identification using a large dataset of hand images},
  author={Afifi, Mahmoud},
  journal={Multimedia Tools and Applications},
  volume={78},
  number={15},
  pages={20835--20854},
  year={2019},
  publisher={Springer}
}