Roboflow Universe Marinto Richee Hand Written Text Detection

Hand Written Text Detection Computer Vision Project

Download this Dataset Try Pre-Trained Model

TRY THIS MODEL

Drop an image or

browse your device

Images

4673 images

Explore Dataset

Automated Exam Answer Sheet PDF Renamer is a project designed to streamline the process of renaming exam answer sheet PDFs. The traditional manual renaming process is time-consuming and error-prone. This project automates the task by extracting critical information such as student register numbers and subject codes from the answer sheets.

Features

Automated exam answer sheet PDF renaming.
Utilizes YOLOv8 object detection for precise extraction of "Register-Number" and "Subject-Code."
Employs EasyOCR for accurate text extraction.
Implements extensive data augmentation techniques to enhance model performance.

Project Flow

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            hand-written-text-detection_dataset,
                            title = { Hand Written Text Detection Dataset },
                            type = { Open Source Dataset },
                            author = { Marinto Richee },
                            howpublished = { \url{ https://universe.roboflow.com/marinto-richee/hand-written-text-detection } },
                            url = { https://universe.roboflow.com/marinto-richee/hand-written-text-detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { apr },
                            note = { visited on 2024-04-30 },
                            }