README.md

metadata

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

$ pip install ultralytics huggingface_hub supervision

Load the model

from ultralytics import YOLO
from huggingface_hub import hf_hub_download

# l.oad model