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--- |
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license: cc-by-nc-nd-4.0 |
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task_categories: |
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- image-segmentation |
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language: |
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- en |
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tags: |
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- code |
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- finance |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: mask |
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dtype: image |
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- name: id |
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dtype: string |
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- name: gender |
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dtype: string |
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- name: age |
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dtype: int8 |
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splits: |
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- name: train |
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num_bytes: 44991960 |
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num_examples: 20 |
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download_size: 44094250 |
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dataset_size: 44991960 |
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--- |
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# Face segmentation |
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An example of a dataset that we've collected for a photo edit App. The dataset includes 20 selfies of people (man and women) in segmentation masks and their visualisations. |
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# File with the extension .csv |
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includes the following information for each media file: |
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- **Image**: the link to access the media file |
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- **Mask**: the link to access the segmentation mask for the Image |
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# The folder "images" |
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Contains the original selfies of people. |
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# The folder "masks" |
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Includes segmentation masks for the photos: |
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- corresponding to the images in the previous folder |
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- identified by the same file names. |
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**How it works**: *go to the "masks" folder and make sure that the file "1.png" is a segmentation mask of the selfi, created for the photo "1.png" in the "images" folder.* |
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This sample is an example of a dataset that we create on demand in Training Data https://trainingdata.pro/data-market?utm_source=huggingface specifically for your task. |
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To get a consultion and order a pilot project, please contact our sales team by submitting a request on our website or emaling us at sales@trainingdata.pro |
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More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets** |
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TrainingData's GitHub: **https://github.com/trainingdata-pro** |