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README.md

@@ -1,12 +1,61 @@
 ---
-title: Cifar100 Resnet18 Demo
-emoji: 📈
+title: CIFAR-100 ResNet18 Demo
+emoji: 🖼️
 colorFrom: blue
-colorTo: blue
+colorTo: purple
 sdk: gradio
-sdk_version: 5.49.1
+sdk_version: 4.44.0
 app_file: app.py
 pinned: false
+license: mit
+models:
+  - ivantv/cifar100-resnet18
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# CIFAR-100 Image Classification Demo
+
+This is a demo Space for the ResNet-18 model trained on CIFAR-100 dataset.
+
+**Model:** [ivantv/cifar100-resnet18](https://huggingface.co/ivantv/cifar100-resnet18)
+
+## Features
+
+- 🎯 **100 Categories** - Classify images into animals, vehicles, objects, plants, and more
+- 🚀 **75.84% Accuracy** - High-performance ResNet-18 model
+- 📸 **Easy to Use** - Just upload an image and get instant predictions
+- 🔝 **Top-5 Predictions** - See the most likely classes with confidence scores
+
+## Model Details
+
+- **Architecture:** ResNet-18
+- **Parameters:** 11,220,132
+- **Training:** 50 epochs on CIFAR-100
+- **Test Accuracy:** 75.84%
+
+## Usage
+
+1. Upload an image using the interface
+2. View the top-5 predictions with confidence scores
+3. Try different types of images!
+
+## Categories
+
+The model can recognize 100 different categories including:
+
+**Animals:** bear, tiger, elephant, dolphin, fox, lion, wolf, butterfly, etc.  
+**Vehicles:** bicycle, bus, train, motorcycle, pickup_truck, etc.  
+**Objects:** chair, table, lamp, clock, keyboard, telephone, etc.  
+**Plants:** maple_tree, oak_tree, palm_tree, rose, tulip, orchid, etc.  
+**Structures:** house, castle, bridge, skyscraper, etc.
+
+## Files
+
+This Space uses:
+- `app.py` - Gradio interface
+- `requirements.txt` - Dependencies
+- Model downloaded from: [ivantv/cifar100-resnet18](https://huggingface.co/ivantv/cifar100-resnet18)
+
+## License
+
+MIT License
+