Saved datasets
Last updated
Download format
Croissant
Croissant is a format for Machine Learning datasets
Learn more about this at mlcommons.org/croissant.
Usage rights
License from data provider
Please review the applicable license to make sure your contemplated use is permitted.
Topic
Provider
Free
Cost to access
Described as free to access or have a license that allows redistribution.
100+ datasets found

  1. Human Faces Augmentation - Face Dataset

    • kaggle.com
    zip
    Updated Nov 13, 2023

  2. Face Re-identification Image Dataset

    • kaggle.com
    zip
    Updated Nov 19, 2025
  3. m

    LNS Human Face Dataset

    • data.mendeley.com
    • datasetcatalog.nlm.nih.gov
    Updated Jan 6, 2026
  4. Z

    BanglaFace: An In-the-Wild Bangladeshi Facial Image Dataset

    • datasetcatalog.nlm.nih.gov
    Updated Mar 23, 2026
    + more versions
  5. m

    Human Faces and Objects Mix Image Dataset

    • data.mendeley.com
    • datasetcatalog.nlm.nih.gov
    Updated Mar 13, 2025
    + more versions

  6. 21,125 Identity Face Recognition Dataset with Multi-Pose and Diverse Face...

    • nexdata.ai
    Updated Nov 12, 2023
  7. h

    face-segmentation-image-dataset

    • huggingface.co
    Updated Jun 2, 2025
    + more versions

  8. Detect AI-Generated Faces: High-Quality Dataset

    • kaggle.com
    zip
    Updated Dec 1, 2024

  9. Face Recognition Dataset – 10,109 People with Multi-angle Face Images and...

    • nexdata.ai
    Updated Mar 31, 2024
  10. h

    human-faces-dataset

    • huggingface.co
    Updated Jun 4, 2026
  11. m

    LNS Human Face Dataset: Multi-Variant (LNS-MV)

    • data.mendeley.com
    Updated Jun 23, 2026
    + more versions
  12. g

    LFW – People (Face Recognition)

    • gts.ai
    json
    Updated Dec 3, 2023

  13. Social Event Face Recognition

    • kaggle.com
    zip
    Updated Sep 3, 2023

  14. Stable Diffusion Face Dataset

    • kaggle.com
    zip
    Updated Apr 19, 2024
  15. F

    Native American Occluded Facial Image Dataset

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
  16. F

    Middle Eastern Facial Images Dataset | Selfie & ID Card Images

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
    + more versions
  17. G

    Stable Diffusion Face Dataset

    • gts.ai
    json
  18. F

    South Asian Children Facial Image Dataset for Facial Recognition

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
  19. h

    age-estimation-kids-faces-dataset

    • huggingface.co
  20. F

    African Occluded Facial Image Dataset

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Unique Data (2023). Human Faces Augmentation - Face Dataset [Dataset]. https://www.kaggle.com/datasets/trainingdatapro/human-faces-augmentation-image-restoration
Organization logo

Human Faces Augmentation - Face Dataset

Photos of people with augmentation for image restoration, face dataset

Explore at:
zip(1726958917 bytes)Available download formats
Dataset updated
Nov 13, 2023
Authors
Unique Data
License

Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
License information was derived automatically

Description

Human Faces Augmentation - Face Dataset for Image Restoration

The dataset is created on the basis of Selfies and ID Dataset

The dataset consists of 50 selfies of people, each of which has been augmented with 3 different types of noise: weak, medium, and strong. The dataset encompasses diverse demographics, ages, ethnicities, and genders.

The dataset provides a comprehensive range of variations to facilitate research and development in image restoration, denoising, or other related tasks.

Types of augmentation

The dataset includes 3 types of augmentation: weak noise (folder "1"), medium noise (folder "2") and strong noise (folder "3")

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Fb317ca779e3cc710882b2b6dac194fd3%2FFrame%2051%20(2).png?generation=1699864831951890&alt=media" alt="">

The dataset allows researchers to explore and evaluate the performance of algorithms, models, or techniques in handling images affected by weak, medium, or strong noise, representing varying levels of image degradation.

👉 Legally sourced datasets and carefully structured for AI training and model development. Explore samples from our dataset of 95,000+ human images & videos - Full dataset

Metadata for the full dataset:

  • assignment_id - unique identifier of the media file
  • worker_id - unique identifier of the person
  • age - age of the person
  • true_gender - gender of the person
  • country - country of the person
  • ethnicity - ethnicity of the person
  • photo_1_extension, photo_2_extension, …, photo_15_extension - photo extensions in the dataset
  • photo_1_resolution, photo_2_resolution, …, photo_15_resolution - photo resolution in the dataset

OTHER BIOMETRIC DATASETS:

🧩 This is just an example of the data. Leave a request here to learn more

Content

The dataset includes: - folder files - includes original images ("images" folder), and augmented images ("augmentation" folder) - .csv file - contains information about the images in the dataset

File with the extension .csv

  • id: id of the human,
  • file: link to access the original image,
  • weak_augmentation: link to access file with weak augmentation,
  • medium_augmentation: link to access file with medium augmentation,
  • strong _augmentation: link to access file with strong augmentation

🚀 You can learn more about our high-quality unique datasets here

keywords: biometric system, biometric dataset, image restoration tasks, image super-resolution, image denoising, human images, face recognition database, augmented images, augmented reality, ar, image dataset, image restoration, augmentation dataset, face detection, re-identification dataset, computer vision, deep learning, artificial intelligence, machime learning, image quality assessment dataset, image degradation

Search
Clear search
Close search
Google apps
Main menu