Create README.md

The dataset comprises over 120,000 images representing eight common classes of university lost items. These classes include:
- Bicycle
- Camera
- Fashion accessory
- Glasses
- Handbag
- Headphones
- Laptop
- Mug
- Sunglasses
- Umbrella

The primary purpose of this dataset is to train an image classification system for university lost and found services. By utilizing image classification techniques, universities can efficiently match uploaded images of lost items with those of found items, facilitating the reunification process.

README.md

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+---
+license: mit
+task_categories:
+- image-classification
+language:
+- en
+size_categories:
+- 100K<n<1M
+---