Initial Commit

README.md

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+---
+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
+
+```

model.pt

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