---
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