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Datasets:
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dermatology-dataset-acne-redness-and-bags-under-the-eyes

Tasks:
Image Classification
Image-to-Image
Object Detection
Modalities:
Image
Text
Formats:
parquet
Languages:
English
Size:
< 1K
Tags:
medical
biology
code
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dermatology-dataset-acne-redness-and-bags-under-the-eyes / README.md
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metadata
language:
  - en
license: cc-by-nc-nd-4.0
task_categories:
  - image-classification
  - image-to-image
  - object-detection
tags:
  - medical
  - biology
  - code
dataset_info:
  features:
    - name: id
      dtype: uint16
    - name: front
      dtype: image
    - name: left_side
      dtype: image
    - name: right_side
      dtype: image
    - name: type
      dtype: string
  splits:
    - name: train
      num_bytes: 691862223
      num_examples: 30
  download_size: 691900290
  dataset_size: 691862223
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Skin Defects Dataset

The dataset contains images of individuals with various skin conditions: acne, skin redness, and bags under the eyes. Each person is represented by 3 images showcasing their specific skin issue. The dataset encompasses diverse demographics, age, ethnicities, and genders.

Types of defects in the dataset: acne, skin redness & bags under the eyes

  • Acne photos: display different severities and types of acne such as whiteheads, blackheads, and cystic acne.
  • Skin redness photos: display individuals with this condition, which may be caused by rosacea or eczema.
  • Bags under the eyes photos: depicts individuals with noticeable bags under their eyes, often associated with lack of sleep, aging, or genetics.

Full version of the dataset includes much more photos of people, leave a request on TrainingData to buy the dataset

The dataset is a valuable resource for researchers, developers, and organizations working at the dermatology, cosmetics and medical sphere to train, evaluate, and fine-tune AI models for real-world applications. It can be applied in various domains like skincare, scientific research and advertising.

Get the Dataset

This is just an example of the data

Leave a request on https://trainingdata.pro/data-market to learn about the price and buy the dataset

Content

The folder files includes:

  • 3 folders with images of people with the conditions mentioned in the name of the folder (acne, skin redness or bags under the eyes)
  • each folder includes sub-folders with 3 images of each person from different angles: front, left side and right side

File with the extension .csv

  • id: id of the person,
  • front: link to access the front photo,
  • left_side: link to access the left side's photo,
  • right_side: link to access the right side's photo,
  • type: type of the defect (acne, skin redness or bags under the eyes)

TrainingData provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: https://www.kaggle.com/trainingdatapro/datasets

TrainingData's GitHub: https://github.com/Trainingdata-datamarket/TrainingData_All_datasets

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