Update README.md

README.md

@@ -13,4 +13,62 @@ tags:
 - rgb
 size_categories:
 - 1K<n<10K
----
+---
+
+# Shoe-Net-10K Dataset
+
+The **Shoe-Net-10K** dataset is a curated collection of 10,000 shoe images annotated for multi-class image classification. This dataset is suitable for training deep learning models to recognize different types of shoes from images.
+
+## Dataset Details
+
+* **Total Images**: 10,000
+* **Image Size**: Varies (typical width range: 94 px to 519 px)
+* **Format**: Parquet
+* **Split**:
+
+  * `train`: 10,000 images
+* **Modality**: Image
+* **License**: Apache 2.0
+
+## Labels
+
+The dataset includes 5 distinct shoe categories:
+
+```python
+labels_list = [
+  'Ballet Flat',
+  'Boat',
+  'Brogue',
+  'Clog',
+  'Sneaker'
+]
+```
+
+Each image is labeled with one of the above shoe types.
+
+## Usage
+
+You can load this dataset using the Hugging Face `datasets` library:
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("prithivMLmods/Shoe-Net-10K")
+```
+
+Access individual samples as follows:
+
+```python
+sample = dataset["train"][0]
+image = sample["image"]
+label = sample["label"]
+```
+
+## Applications
+
+This dataset can be used for:
+
+* Image classification
+* Shoe-type detection
+* Retail recommendation systems
+* Style and fashion recognition models