Update README.md

README.md

@@ -1,4 +1,16 @@
 ---
+license: mit
+task_categories:
+- image-classification
+- zero-shot-image-classification
+pretty_name: RENDR
+size_categories:
+- 10K<n<100K
+tags:
+- 3d
+- synthetic
+- rendered
+- computer-graphics
 dataset_info:
   features:
   - name: image
@@ -35,3 +47,123 @@ configs:
   - split: test
     path: data/test-*
 ---
+
+
+# RENDR Dataset
+
+## Dataset Description
+
+RENDR is a large-scale synthetic dataset of rendered 3D objects across 11 object categories. The dataset contains rendered images from 3D assets sourced from BlenderKit and Haven, designed for training and evaluating computer vision models on synthetic 3D data.
+
+## Dataset Statistics
+
+### Split Overview
+
+| Split | Total Images | Rendered | BlenderKit Assets | Haven Assets |
+|-------|--------------|----------|-------------------|--------------|
+| Train | 29,291 | 23,836 | 5,397 | 58 |
+| Test | 5,929 | 4,206 | 1,701 | 22 |
+
+### Class Distribution
+
+| Class | Train (Rendered) | Train (BlenderKit) | Train (Haven) | Test (Rendered) | Test (BlenderKit) | Test (Haven) |
+|-------|------------------|--------------------|--------------:|-----------------|-------------------|-------------:|
+| Animals | 2,369 | 133 | 1 | 416 | 103 | 1 |
+| Appliances | 1,966 | 388 | 5 | 346 | 150 | 2 |
+| Architecture | 2,224 | 523 | 7 | 392 | 171 | 3 |
+| Decoration | 2,226 | 731 | 0 | 392 | 188 | 0 |
+| Electronics | 1,905 | 246 | 6 | 336 | 126 | 3 |
+| Furniture | 2,154 | 1,075 | 0 | 380 | 190 | 0 |
+| Lighting | 1,565 | 266 | 1 | 278 | 117 | 0 |
+| Mechanical | 2,150 | 386 | 18 | 380 | 151 | 8 |
+| Nature | 2,782 | 799 | 0 | 492 | 217 | 0 |
+| People | 2,554 | 205 | 0 | 452 | 136 | 0 |
+| Tools | 1,941 | 645 | 20 | 342 | 152 | 5 |
+
+## Dataset Structure
+
+```
+rendr/
+├── train/
+│   ├── animals/
+│   ├── appliances/
+│   ├── architecture/
+│   ├── decoration/
+│   ├── electronics/
+│   ├── furniture/
+│   ├── lighting/
+│   ├── mechanical/
+│   ├── nature/
+│   ├── people/
+│   └── tools/
+└── test/
+    └── [same structure as train]
+```
+
+## Normalization Statistics
+
+For standard ImageNet-style normalization:
+
+- **Mean**: `[0.5910, 0.5846, 0.5790]`
+- **Std**: `[0.2724, 0.2733, 0.2781]`
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load the dataset
+dataset = load_dataset("jneuendorf/rendr")
+
+# Access splits
+train_data = dataset['train']
+test_data = dataset['test']
+
+# Example: Load with normalization
+from torchvision import transforms
+
+transform = transforms.Compose([
+    transforms.ToTensor(),
+    transforms.Normalize(
+        mean=[0.5910, 0.5846, 0.5790],
+        std=[0.2724, 0.2733, 0.2781]
+    )
+])
+```
+
+## Data Sources
+
+- **Rendered Images**: Custom rendered synthetic images
+- **BlenderKit**: 3D assets from BlenderKit library
+- **Haven**: 3D assets from Poly Haven
+
+## Classes
+
+The dataset includes 11 object categories:
+1. Animals
+2. Appliances
+3. Architecture
+4. Decoration
+5. Electronics
+6. Furniture
+7. Lighting
+8. Mechanical
+9. Nature
+10. People
+11. Tools
+
+## Citation
+
+If you use this dataset, please cite:
+
+```bibtex
+@dataset{rendr,
+  title={RENDR: A Large-Scale Synthetic 3D Object Dataset},
+  author={Jim Neuendorf},
+  year={2025}
+}
+```
+
+## License
+
+MIT License - Copyright (c) 2025 Jim Neuendorf