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--- |
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tags: |
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- ultralytics |
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- yolov8 |
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- object-detection |
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- pytorch |
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library_name: ultralytics |
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library_version: 8.0.198 |
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--- |
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# YOLOv8 model to detect import texts on an Aadhar Card |
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## Overview |
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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. |
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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. |
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## Getting Started with Inference |
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### Install Dependencies |
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```bash |
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$ pip install ultralytics huggingface_hub supervision |
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``` |
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### Load the model |
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```python |
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from ultralytics import YOLO |
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from huggingface_hub import hf_hub_download |
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# l.oad model |
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``` |
