---
language:
  - en
pretty_name: "Military ANPR Dataset"
tags:
  - yolo
  - '11'
  - anpr
  - number_plate
  - india
  - military
  - army
size_categories:
  - "10K<n<100K"
access: gated
---

# Military ANPR Dataset

**Military ANPR Dataset License (MADL) v1.0**  
**Effective Date:** 15/11/2024  
**Copyright ©**
Aditya Verma  
**Code Implementation and Training Code @ https://github.com/ADITYAVOFFICIAL/ANPR-Civil-Military**

---

## Overview

The **Military ANPR Dataset** is a curated collection of high-resolution military-grade images, assembled exclusively for developing and evaluating YOLO-based Automatic Number Plate Recognition (ANPR) systems in challenging military environments. This dataset addresses issues such as varying lighting conditions and occlusions encountered during military operations in Kashmir. 

> **Important Notice:** The dataset has been moved from Hugging Face to [https://militaryanpr.vercel.app/](https://militaryanpr.vercel.app/). Users requiring access must register on the new site and then submit an application for access.

Due to the sensitive nature of the data, access is strictly controlled and available only to authorized personnel through a gated process.

---

## Key Features

- **Domain:** Military surveillance and vehicle security  
- **Primary Task:** Automatic Number Plate Recognition (ANPR)  
- **Data Volume:** 10K to 100K image instances  
- **License:** Military ANPR Dataset License (MADL) v1.0 – strictly non-commercial and restricted  
- **Access:** Gated; requires completion of an access request form and manual approval

---

## Dataset Details

### Intended Use

This dataset is intended for:
- **Internal Military Applications:** Supporting vehicle detection and monitoring under challenging conditions.
- **Research & Development:** Enabling fine-tuning and validation of YOLO-based ANPR models in military settings.

**Usage Restrictions:**
- **Permitted:** Use is strictly for internal military purposes.
- **Prohibited:** Public distribution, modification, commercialization, or any non-military use.

### Access Control

Given the sensitivity of the content, access to the dataset is **gated**. Users must:
1. Visit [https://militaryanpr.netlify.app/](https://militaryanpr.netlify.app/) and complete the registration process.
2. Submit an access request form through the site.
3. Receive manual approval from the dataset curator.

For further details, please refer to the [Access Request Form](#) (update with the actual link).

---

## License

This dataset is released under the **Military ANPR Dataset License (MADL) v1.0**. Key provisions include:

- **Permitted Use:** Use strictly for internal military applications related to vehicle detection and monitoring.
- **Prohibited Actions:**
  - Copying, redistributing, or making the dataset publicly available.
  - Modifying, reverse-engineering, or creating derivative works.
  - Any commercial or non-military use.
  - Hosting or sharing the dataset on open-source platforms.
- **Confidentiality:** All users must safeguard the dataset and its documentation.
- **Termination:** The license will be terminated immediately if any terms are violated.

---

## Data Structure [Yolov11 Format]

- **data.yaml**  
  Contains configuration settings and metadata for the dataset.

- **README.roboflow.txt**  
  Contains instructions and information specific to integrating or using the dataset with Roboflow.

- **train/**  
  - **images/**: This folder holds all training images.  
  - **labels/**: This folder contains the corresponding training labels.

- **valid/**  
  - **images/**: This folder holds all validation images.  
  - **labels/**: This folder contains the corresponding validation labels.

### Data Instances

Each entry in the dataset typically includes:
- **Image File:** A high-resolution military-grade image.
- **Bounding Box Annotations:** Corresponding label data for training detection models.