Update README.md

README.md

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-license: cc-by-nc-2.0
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+---
+license: cc-by-nc-2.0
+---
+# SKU-110k Dataset
+
+The [SKU-110k](https://github.com/eg4000/SKU110K_CVPR19) dataset is a collection of densely packed retail shelf images, designed to support research in [object detection](https://www.ultralytics.com/glossary/object-detection) tasks. Developed by Eran Goldman et al., the dataset contains over 110,000 unique store keeping unit (SKU) categories with densely packed objects, often looking similar or even identical, positioned in proximity.
+
+## Key Features
+
+- SKU-110k contains images of store shelves from around the world, featuring densely packed objects that pose challenges for state-of-the-art object detectors.
+- The dataset includes over 110,000 unique SKU categories, providing a diverse range of object appearances.
+- Annotations include bounding boxes for objects and SKU category labels.
+
+
+![image](https://cdn-uploads.huggingface.co/production/uploads/60f6ff297666eeb11bc2b8d7/b6kK4hUjFIbR3dB34XyWf.png)
+
+### Usage
+
+```python
+from datasets import load_dataset
+
+# Load the dataset
+dataset = load_dataset("PrashantDixit0/SKU-110K")
+
+# Access splits
+train_data = dataset['train']
+
+# Example: Load first image
+from PIL import Image
+import io
+
+sample = train_data[0]
+image = Image.open(BytesIO(base64.b64decode(sample["image"]["bytes"]))
+image.show()
+```
+
+## Applications
+
+The SKU-110k dataset is widely used for training and evaluating [deep learning](https://www.ultralytics.com/glossary/deep-learning-dl) models in object detection tasks, especially in densely packed scenes such as retail shelf displays. Its applications include:
+
+- Retail inventory management and automation
+- Product recognition in e-commerce platforms
+- Planogram compliance verification
+- Self-checkout systems in stores
+- Robotic picking and sorting in warehouses