Create README.md

README.md

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+# Dataset Card for Linnaeus 5
+
+<!-- Provide a quick summary of the dataset. -->
+
+## Dataset Details
+
+### Dataset Description
+
+<!-- Provide a longer summary of what this dataset is. -->
+Linnaeus 5 dataset contains RGB images (256x256) for classification across 5 categories: berry, bird, dog, flower, and other (negative set). It includes 1200 training images and 400 test images per class.
+
+### Dataset Sources
+
+<!-- Provide the basic links for the dataset. -->
+
+- **Homepage:** https://chaladze.com/l5/
+- **Paper:** Chaladze, G., & Kalatozishvili, L. (2017). Linnaeus 5 dataset for machine learning. arXiv preprint arXiv:1707.06677.
+
+## Dataset Structure
+
+<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
+
+Total images: 8,000
+
+Classes: 5 categories
+
+Splits:
+
+- **Train:** 6,000 images
+
+- **Test:** 2,000 images
+
+Image specs: JPEG format, 256×256 pixels, RGB
+
+## Example Usage
+Below is a quick example of how to load this dataset via the Hugging Face Datasets library.
+```
+from datasets import load_dataset  
+
+# Load the dataset  
+dataset = load_dataset("randall-lab/linnaeus5", split="train", trust_remote_code=True)   
+# dataset = load_dataset("randall-lab/linnaeus5", split="test", trust_remote_code=True)  
+
+# Access a sample from the dataset  
+example = dataset[0]  
+image = example["image"]  
+label = example["label"]  
+
+image.show()  # Display the image  
+print(f"Label: {label}")
+```
+
+## Citation
+
+<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+@article{chaladze2017linnaeus,
+  title={Linnaeus 5 dataset for machine learning},
+  author={Chaladze, G and Kalatozishvili, L},
+  journal={arXiv preprint arXiv:1707.06677},
+  year={2017}
+}