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-# 📊 Dataset Info: Skin Lesion Segmentation & Classification
-
-This dataset contains annotated skin lesion images for the dual task of **object detection** and **segmentation approximation** using bounding boxes. It is prepared in **YOLOv8-compatible** format and includes over **9,500 medical images**.
-
----
-
-## 🗂️ Directory Structure
-
-```
-skin-lesion-segmentation-classification/
-├── train/
-│   ├── images/     # 6,675 training images
-│   └── labels/     # YOLO format labels
-├── valid/
-│   ├── images/     # 1,911 validation images
-│   └── labels/
-├── test/
-│   ├── images/     # 961 test images
-│   └── labels/
-```
-
----
-
-## 🧠 Classes
-
-The dataset supports **7 lesion categories**, labeled from ID `0` to `6`. Below is a full list of class codes, descriptions, and emojis for quick visual reference:
-
-### 🦠 Skin Lesion Types & Description
-
-| ID | Emoji | Code   | Full Name                                             | Description                                                                 |
-|----|-------|--------|--------------------------------------------------------|-----------------------------------------------------------------------------|
-| 0  | 🟤    | BKL    | Benign Keratosis                                      | Non-cancerous, often scaly skin lesions. Common and usually harmless.      |
-| 1  | ⚫    | NV     | Melanocytic Nevi                                      | Regular moles formed by pigment-producing cells. Typically benign.         |
-| 2  | 🟠    | DF     | Dermatofibroma                                        | Firm, small nodules under the skin caused by minor trauma. Non-cancerous.  |
-| 3  | 🔴    | MEL    | Melanoma                                              | A serious and potentially life-threatening skin cancer. Early detection is critical. |
-| 4  | 🔵    | VASC   | Vascular Lesion                                       | Blood vessel-related marks like angiomas. Usually red or purple.           |
-| 5  | 🟣    | BCC    | Basal Cell Carcinoma                                  | The most common skin cancer. Slow-growing and rarely metastasizes.         |
-| 6  | ⚠️    | AKIEC  | Actinic Keratoses / Intraepithelial Carcinoma         | Pre-cancerous lesions that may evolve into squamous cell carcinoma.        |
-
-*All bounding box labels follow YOLO format: `class_id x_center y_center width height` (normalized values).*
-
----
-
-## 🧪 Tasks
-
-- 🔳 **Object Detection** (YOLO format with normalized bounding boxes)
-- 🎯 **Segmentation Approximation** (using bounding box areas)
-- 📌 Potential for classification/fine-tuning tasks
-
----
-
-## 📦 Dataset Size
-
-| Split  | Images | Labels |
-|--------|--------|--------|
-| Train  | 6,675  | 6,675  |
-| Valid  | 1,911  | 1,911  |
-| Test   | 961    | 961    |
-| **Total** | **9,547** | **9,547** |
-
----
-
-## 📝 Notes
-
-- All lesion images are in `.jpg` format.
-- Labels are compatible with **YOLOv8** training pipelines.
-- The dataset is suitable for **medical AI**, **research**, and **deep learning education**.
-
----
-
-📬 For questions, citations, or collaboration requests, visit the [Hugging Face Profile](https://huggingface.co/makhresearch).