Update README.md

README.md

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-license: cc-by-nc-nd-4.0
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+---
+license: cc-by-nc-nd-4.0
+task_categories:
+- image-classification
+- image-segmentation
+tags:
+- Image
+- female
+- Hair
+- People
+- Bald people
+- Classification
+- segmentation
+size_categories:
+- 1K<n<10K
+---
+# Hair Loss Segmentation Dataset - 1 080 images
+
+The dataset comprises **1,080** images of **540** women with alopecia, featuring top-view scalp images paired with **segmentation masks**. Each image is annotated with precise segmentation masks, enabling analysis of **hair follicles**, **hair density**, and **baldness patterns**.  — **[Get the data](https://unidata.pro/datasets/hair-loss-in-women-segmentation-dataset/?utm_source=huggingface-med&utm_medium=referral&utm_campaign=hair-loss-segmentation-dataset)**
+
+## Dataset characteristics:
+| Characteristic          | Data                                                                 |
+|-------------------------|----------------------------------------------------------------------|
+| Description             | Photos of women with varying degrees of hair loss for segmentation tasks |
+| Data types              | Image                                                                |
+| Tasks                   | Classification, Machine Learning                                    |
+| Number of images        | 1,080                                                               |
+| Number of files in a set| 2 images per person (image from the top + mask)                     |
+| Total number of people  | 540                                                                  |
+| Labeling                | Metadata (gender, age, ethnicity)                                   |
+| Age                     | Min = 18, max = 80, mean = 45                                       |
+
+### 📊 Sample dataset available! For full access, [contact us](https://unidata.pro/datasets/hair-loss-in-women-segmentation-dataset/?utm_source=huggingface-med&utm_medium=referral&utm_campaign=hair-loss-segmentation-dataset) to discuss purchase terms.
+
+## Dataset structure
+- 1  —  images of first person
+- 2  —  images of second person
+- 3  — images of third person
+- 4  — images of fourth person
+- 5  — images of fifth person
+- Hair Loss in Women Segmentation Dataset.csv  —file contains metadata and labels for all individuals in the dataset.
+
+### 🧩 Like the dataset but need different data? We can collect a custom dataset just for you - learn more about our data collection services [here](https://unidata.pro/datasets/hair-loss-in-women-segmentation-dataset/?utm_source=huggingface-med&utm_medium=referral&utm_campaign=hair-loss-segmentation-dataset)
+
+## Similar Datasets:
+1. [Hair Loss Male Ludwig Scale](https://unidata.pro/datasets/male-hair-loss-dataset/?utm_source=huggingface-med&utm_medium=referral&utm_campaign=hair-loss-segmentation-dataset)
+2. [Female Hair Loss Dataset](https://unidata.pro/datasets/hair-loss-female-ludwig-scale/?utm_source=huggingface-med&utm_medium=referral&utm_campaign=hair-loss-segmentation-dataset)
+3. [Men Hair Loss Segmentation Dataset](https://unidata.pro/datasets/hair-loss-in-men-segmentation-dataset/?utm_source=huggingface-med&utm_medium=referral&utm_campaign=hair-loss-segmentation-dataset)
+
+## 🌐 [UniData](https://unidata.pro/datasets/hair-loss-in-women-segmentation-dataset/?utm_source=huggingface-med&utm_medium=referral&utm_campaign=hair-loss-segmentation-dataset) - your trusted data partner. Unique, accurate, thoroughly collected and annotated data designed to fuel your AI/ML success.