armvectores/yolov8n_handwritten_text_detection
Object Detection
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Datasets:
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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
- clone repo
git clone https://huggingface.co/datasets/armvectores/handwritten_text_detection
cd handwritten_text_detection
- use data.yaml for training
from ultralytics import YOLO
model = YOLO('yolov8n.pt')
model.train(data='data.yaml', epochs=20)
Data sample
- Downloads last month
- 704
Size of downloaded dataset files:
925 kB
Size of the auto-converted Parquet files:
702 kB
Number of rows:
11,425
Models trained or fine-tuned on armvectores/handwritten_text_detection