---
tags:
- ultralytics
- yolov8
- object-detection
- pytorch
library_name: ultralytics
library_version: 8.0.198
---
# YOLOv8 model to detect import texts on an Aadhar Card

## Overview

Aadhaar Card text detection is the process of identifying and extracting text from Aadhaar Card images. This can be useful for a variety of applications, such as automatic data entry, fraud detection, and document verification.

One approach to Aadhaar Card text detection is to use YOLOv8, a state-of-the-art object detection model. YOLOv8 can be trained to detect a variety of object classes, including text. Once trained, YOLOv8 can be used to detect text in Aadhaar Card images and extract the text to a text file or other format.

## Getting Started with Inference

### Install Dependencies

```bash
$ pip install ultralytics huggingface_hub supervision
```

### Load the model

```python
from ultralytics import YOLO
from huggingface_hub import hf_hub_download

# l.oad model

```