armvectores/handwritten_text_detection
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… See the full description on the dataset page: https://huggingface.co/datasets/armvectores/handwritten_text_detection.
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_detection2) use data.yaml for training
from ultralytics import YOLO
model = YOLO('yolov8n.pt')
model.train(data='data.yaml', epochs=20)Data sample
<img src="blank_sample.png" width="700" />
