Datasetpublic

thundarstrom/indian-anpr-ocr-corpus

Indian License Plate Character Recognition (PARSeq & LMDB) Part of the Edge-AI Traffic & Vehicle Analytics System repository by thundarstrom. Dataset Summary A curated dataset of 18,537 normalized license plate image crops aligned strictly with Indian Motor Vehicle Act alphanumeric formats (^[A-Z]{2}[0-9]{1,2}[A-Z]{1,3}[0-9]{4}$). Formats Provided Raw Crops & Ground Truth: parseq_dataset/ with gt.txt (Tab-delimited: filename \t text).… See the full description on the dataset page: https://huggingface.co/datasets/thundarstrom/indian-anpr-ocr-corpus.

sourceHugging Facecc-by-4.0updated 1mo agoView on Hugging Face

0likes19downloads

Dataset Card

Indian License Plate Character Recognition (PARSeq & LMDB)

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

Dataset Summary

A curated dataset of 18,537 normalized license plate image crops aligned strictly with Indian Motor Vehicle Act alphanumeric formats (^[A-Z]{2}[0-9]{1,2}[A-Z]{1,3}[0-9]{4}$).

Formats Provided

1.Raw Crops & Ground Truth: parseq_dataset/ with gt.txt (Tab-delimited: filename \t text).
2.High-Throughput LMDB Store: Ready for zero-bottleneck GPU memory-mapped I/O in PyTorch Lightning / PARSeq.

Splits

—Train: 15,756 crops (85%)
—Val: 1,854 crops (10%)
—Test: 927 crops (5%)
—Vocabulary: 36 alphanumeric characters (0-9, A-Z)

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_ocr --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-corpus",
    repo_type="dataset",
    local_dir="data/datasets/parseq_dataset"
)
print(f"Dataset downloaded to: {local_path}")

Recommended Training / Evaluation Recipe