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CCPD License Plate Localization Backbone Pretraining Corpus
Part of the Edge-AI Traffic & Vehicle Analytics System repository by thundarstrom.
Dataset Summary
20,000 images sampled from the Chinese City Parking Dataset (CCPD) converted to standard YOLO format. Used exclusively for warm-up feature pretraining of the YOLOv8 visual backbone before fine-tuning on Indian license plates.
Important: Backbone pretraining only. Do not use for final fine-tuning to prevent geographic plate shape bias.
How to Access and Download
Using Automated Project Downloader (Extracts automatically)
# Clone / pull and auto-extract dataset
python scripts/download_hf_datasets.py --dataset plate_ccpd --org thundarstrom
Using huggingface_hub Python SDK
from huggingface_hub import snapshot_download
# Download into local dataset directory
local_path = snapshot_download(
repo_id="thundarstrom/ccpd-license-plate-pretrain",
repo_type="dataset",
local_dir="data/datasets/ccpd_yolo"
)
print(f"Dataset downloaded to: {local_path}")
Recommended Training / Evaluation Recipe
python scripts/train_models.py --task plate --model yolov8n.pt --epochs 30 --data ccpd_yolo/data.yaml
Citation & Maintainer
- Maintained by:
thundarstrom - Project: Edge-AI Real-Time Traffic Violation Detection & ANPR
- License: CC-BY-4.0
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