Create README.md

README.md

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+# Dataset Card for ImageNet100
+
+<!-- Provide a quick summary of the dataset. -->
+
+## Dataset Details
+
+### Dataset Description
+
+<!-- Provide a longer summary of what this dataset is. -->
+ImageNet100 is a subset of ImageNet (ILSVRC2012) containing only 100 classes.
+
+### Dataset Sources
+
+<!-- Provide the basic links for the dataset. -->
+Unknown
+
+## 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: 131,689
+
+Classes: 100 categories
+
+Splits:
+
+- **Train:** 126,689 images
+
+- **Validation:** 5,000 images
+
+Image specs: Variable resolution, 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/imagenet100", split="train", trust_remote_code=True)   
+# dataset = load_dataset("randall-lab/imagenet100", split="validation", 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. -->
+
+Unknown