Update README.md

README.md

@@ -7,4 +7,88 @@ language:
 pretty_name: Intel Image Classification
 size_categories:
 - 10K<n<100K
----
+---
+
+# Intel Image Classification
+
+The **Intel Image Classification** dataset contains images of natural scenes categorized into six classes:
+
+- Buildings
+
+- Forest
+
+- Glacier
+
+- Mountain
+
+- Sea
+
+- Street
+
+---
+
+## 📆 Content
+
+- The dataset contains **~25,000 images** of size **150x150 pixels**.
+
+- Images are evenly distributed across **6 categories**:
+  
+  ```
+  {'buildings' -> 0,
+   'forest'    -> 1,
+   'glacier'   -> 2,
+   'mountain'  -> 3,
+   'sea'       -> 4,
+   'street'    -> 5 }
+  ```
+
+- It is divided into three parts:
+  
+  - **Training set**: ~14,000 images
+  
+  - **Test set**: ~3,000 images
+  
+  - **Prediction set**: ~7,000 images
+
+The train, test, and prediction images are stored in separate folders.
+
+---
+
+## 🧪 Structure
+
+```
+data/
+├── seg_train/
+│   ├── buildings/
+│   ├── forest/
+│   ├── glacier/
+│   ├── mountain/
+│   ├── sea/
+│   └── street/
+├── seg_test/
+│   └── ...
+└── seg_pred/
+    └── ...
+```
+
+---
+
+## 🔗 Source & Acknowledgements
+
+- Originally published by **Intel** as part of a challenge on **Analytics Vidhya**:  
+  [https://datahack.analyticsvidhya.com](https://datahack.analyticsvidhya.com/)
+
+- Rehosted on Kaggle:  
+  [Intel Image Classification | Kaggle](https://www.kaggle.com/datasets/puneet6060/intel-image-classification)
+
+---
+
+## 💻 Usage
+
+You can load this dataset using Hugging Face's `datasets` library:
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("sfarrukhm/intel-image-classification")
+```