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Datasets:
armvectores
/
handwritten_text_detection

Tasks:
Object Detection
Modalities:
Image
Text
Formats:
text
Languages:
Armenian
Size:
10K - 100K
Tags:
handwritten text
dictation
YOLOv8
Libraries:
Datasets
License:
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metadata
task_categories:
  - object-detection
language:
  - hy
pretty_name: hye_yolo_v0
size_categories:
  - n<1K
tags:
  - handwritten text
  - dictation
  - YOLOv8
license: mit

Handwritten text detection dataset

Data domain

The blanks were provided by youth organization "Armenian Club" (telegram, instagram ), Russia Moscow.

The text on blanks was written during dictation "Teladrutyun" in 2018

The blanks were labeled by Amir and Renal during research project in HSE MIEM

Dataset info

Contains labeled dictations blanks in YOLO format

91 image in total, 73 (80%) for train and 18 (20%) for test

No image alignment or any preprocess

Resolution 1320x1020, 96 dpi

How to use

  1. clone repo
git clone https://huggingface.co./datasets/armvectores/handwritten_text_detection
cd handwritten_text_detection
  1. use data.yaml for training
from ultralytics import YOLO

model = YOLO('yolov8n.pt')
model.train(data='data.yaml', epochs=20)

Data sample