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Indian Vehicle License Plate Localization (YOLO Format)

Part of the Edge-AI Traffic & Vehicle Analytics System repository by thundarstrom.

Dataset Summary

High-precision bounding box dataset containing 3,742 deduplicated real Indian vehicle images for license plate detection and localization in crowded traffic.

Composition

Perfect Indian Plates (1,844 images)
DashCop 2K Dashcam Crops (1,123 images)
Cleaned VOC Rescued Subset (47 images)
Merged and verified with zero train/test hash leakage.

Splits

Train: 2,993 images (80%)
Validation: 374 images (10%)
Test: 375 images (10%)

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_detection --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/indian-license-plate-detection",
    repo_type="dataset",
    local_dir="data/datasets/plate_detection_combined"
)
print(f"Dataset downloaded to: {local_path}")

Recommended Training / Evaluation Recipe

python scripts/train_models.py --task plate --model yolov8n.pt --epochs 150 --imgsz 640 --batch 16

Citation & Maintainer

Maintained by: thundarstrom
Project: Edge-AI Real-Time Traffic Violation Detection & ANPR
License: CC-BY-4.0

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Total file size:

2.41 kB