---
license: apache-2.0
language:
- ks
pretty_name: Kahmiri_image_and_text_dataset
task_categories:
- object-detection
tags:
- text
- kashmiri
- dataset
- ocr
- text recognition
- images
- text and
size_categories:
- 10K<n<100K
---



### 40K Kashmiri Words with images 

Kashmiri (words) Image and Text Dataset for OCR Models

This repository contains a dataset specifically curated for training and testing Optical Character Recognition (OCR) models on Kashmiri language text. The dataset includes a large collection of images with their corresponding labels in a CSV file, designed to aid in the development of robust OCR solutions for the Kashmiri script.


---
Directory Structure:

```
Zip File/
├── images/
│   ├── 000001.png
│   ├── 000002.png
│   ├── 000003.png
│   ├── ...
│   ├── 031000.png
├── labels.csv
```
Description:

Zip File/: The root directory containing all the dataset files and subfolders.

**images/**: A folder housing 40,799 image files, sequentially named from 000001.png to 040799.png. Each image contains text written in the Kashmiri language.

**labels.csv**: A CSV file mapping each image file to its corresponding text label. The file format includes two columns:










## Sample fromat
| Image ID | Text                    | Image File  |
|----------|-------------------------|-------------|
| 000001        | لیونڈ|![image/png](https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/ONm_z5ZOCnefTLD1tFbJu.png) |
| 000002        | لایم |![image/png](https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/pubtNXMFnzrro-CAwFMMB.png)   |
| 000003        | ٹیرف| ![image/png](https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/92aY65VqM80J6Escx9Y3_.png)   |
| 000004        | تلاان |![image/png](https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/ke-c2ZKGnIRffIjiGX89o.png)|
| 000005        | آرکیالوجیکل | ![image/png](https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/16fF2wWclx-CnxJIgqsr8.png)  |
| 000006        | چتوڈکہ | ![image/png](https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/QTIg0Mxkz-silHmCRwuxa.png)   |
| 000007        | پریانشو | ![image/png](https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/G5gxEJbKpC4Y4XIiOB0v6.png)   |
| 000008        |کالیسٹریٹسنک |  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/CULxPkVsoCkI7VITG_mz6.png)  |
| 000009        | جولاے | ![image/png](https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/EXnaclxaV0GGBMaL6nsw7.png)|






Usage

This dataset is suitable for:

Training OCR Models: Develop OCR systems for the Kashmiri script.

Testing OCR Algorithms: Benchmark and evaluate OCR performance on a diverse set of Kashmiri text images.

Research: Conduct linguistic or technical research on OCR in low-resource languages.




Example Usage in Python
## 1
Extract the Zip file then   ; 

 ## 2 
```
import pandas as pd
from PIL import Image

# Load labels
labels = pd.read_csv('labels.csv')

# Example: Display an image and its corresponding label
image_path = 'images/000001.png'
image = Image.open(image_path)
print(f"Label: {labels[labels['image_name'] == '000001.png']['text_label'].values[0]}")
image.show()

```


Dataset Details

Number of Images: 40,799

Language: Kashmiri

File Format:

Images: .png

Labels: .csv




---

Contribution

If you encounter any issues or have suggestions for improving this dataset, feel free to open an issue or submit a pull request.


---

License

This dataset is released under the Creative Commons Attribution 4.0 International License (CC BY 4.0). Please provide appropriate credit when using this dataset in your projects.



Citation:
```
@misc{dataset2024,
  title        = {Omarrran/40K_kashmiri_text_and_image_dataset},
  author       = {HAQ NAWAZ MALIK},
  year         = {2024},
  url          = {https://huggingface.co/datasets/Omarrran/40K_kashmiri_text_and_image_dataset/},
  note         = {Contains 40,799 images with labels }
}
```