Initialize Dataset Card (README.md)

README.md

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+---
+license: cc-by-4.0
+task_categories:
+  - image-to-text
+language:
+  - en
+tags:
+  - anpr
+  - ocr
+  - benchmark
+  - dashcam
+  - out-of-distribution
+  - evaluation
+size_categories:
+  - 1K<n<10K
+---
+
+# DashCop Real-World Out-of-Distribution ANPR Benchmark
+
+Part of the **Edge-AI Traffic & Vehicle Analytics System** repository by `thundarstrom`.
+
+## Dataset Summary
+A frozen evaluation benchmark of **3,034 real dashcam plate crops** captured in challenging conditions (low resolution median 56x34 px, motion blur, direct sunlight, rain).
+
+### Policy
+* **FROZEN TEST SET**: Never train, augment, or fine-tune models on this dataset.
+* Use exclusively to evaluate zero-shot generalization of OCR models in real Indian road conditions.
+
+---
+
+## How to Access and Download
+
+### Using Automated Project Downloader (Extracts automatically)
+```bash
+# Clone / pull and auto-extract dataset
+python scripts/download_hf_datasets.py --dataset anpr_benchmark --org thundarstrom
+```
+
+### Using `huggingface_hub` Python SDK
+```python
+from huggingface_hub import snapshot_download
+
+# Download into local dataset directory
+local_path = snapshot_download(
+    repo_id="thundarstrom/indian-anpr-ocr-benchmark",
+    repo_type="dataset",
+    local_dir="data/datasets/dashcop_ocr"
+)
+print(f"Dataset downloaded to: {local_path}")
+```
+
+---
+
+## Recommended Training / Evaluation Recipe
+
+```bash
+# Evaluation only\npython scripts/test_ocr.py --benchmark dashcop_ocr
+```
+
+---
+
+## Citation & Maintainer
+* **Maintained by**: `thundarstrom`
+* **Project**: Edge-AI Real-Time Traffic Violation Detection & ANPR
+* **License**: CC-BY-4.0