OMLONKAR/Marathi-Sign-Language

1---2license: apache-2.03task_categories:4- image-classification5language:6- mr7tags:8- marathi-sign-language9pretty_name: Marathi10size_categories:11- 10K<n<100K12dataset_info:13  features:14  - name: image15    dtype: image16  - name: label17    dtype:18      class_label:19        names:20          '0': अ21          '1': आ22          '2': इ23          '3': ई24          '4': उ25          '5': ऊ26          '6': ए27          '7': ऐ28          '8': ओ29          '9': औ30          '10': क31          '11': क्ष32          '12': ख33          '13': ग34          '14': घ35          '15': च36          '16': छ37          '17': ज38          '18': ज्ञ39          '19': झ40          '20': ट41          '21': ठ42          '22': ड43          '23': ढ44          '24': ण45          '25': त46          '26': थ47          '27': द48          '28': ध49          '29': न50          '30': प51          '31': फ52          '32': ब53          '33': भ54          '34': म55          '35': य56          '36': र57          '37': ल58          '38': ळ59          '39': व60          '40': श61          '41': स62          '42': ह63  splits:64  - name: train65    num_bytes: 279345185.40266    num_examples: 5009967  download_size: 24115010468  dataset_size: 279345185.40269configs:70- config_name: default71  data_files:72  - split: train73    path: data/train-*74---75# Marathi Sign Language Detection Dataset Card76 77## Dataset Description78The Marathi Sign Language Dataset is a comprehensive collection of images designed to facilitate the development and training of machine learning models for recognizing Marathi sign language gestures. This dataset includes 43 distinct classes, each representing a unique character in the Marathi sign language alphabet. With approximately 1.2k images per class, the dataset totals over 51k images, all uniformly sized at 128x128 pixels.79 80## Dataset Summary81- **Total Number of Classes:** 4382- **Total Number of Images:** 51,60083- **Images per Class:** Approximately 1,20084- **Image Dimensions:** 128x128 pixels85- **Format:** Images (JPEG/PNG)86 87## Dataset Structure88The dataset is organized into 43 folders, each named according to the Marathi sign language character it represents. Within each folder, approximately 1,200 images are stored, each capturing a variation of the sign language gesture for that character.89 90```91/Marathi_Sign_Language_Dataset92    /अ93      0.jpg94      1.jpg95      2.jpg96      ...97      1999.jpg98    /आ99      0.jpg100      1.jpg101      2.jpg102      ...103      1999.jpg104    ...105    /ह106      0.jpg107      1.jpg108      2.jpg109      ...110      1999.jpg111```112 113## Data Collection114The images were collected through a controlled environment to ensure consistency in lighting, background, and gesture representation. Each image captures a clear and centered view of the sign language gesture, making it suitable for training robust machine learning models.115 116## Intended Use117This dataset is intended for researchers and developers working on sign language recognition systems, particularly for the Marathi language. It can be used to train, validate, and test machine learning models, including convolutional neural networks (CNNs), for gesture recognition tasks.118 119## Ethical Considerations120- **Privacy:** The dataset does not contain any personally identifiable information.121- **Bias:** Efforts were made to include diverse hand gestures from multiple individuals to reduce bias. However, users should be aware of potential biases and consider further augmentation or diversification if needed.122- **License:** The dataset is released under an open license, allowing for free use in academic and commercial projects with proper attribution.123 124## Access and Citation125To access the Marathi Sign Language Detection Dataset, please contact the dataset maintainers or visit the official repository. When using this dataset in your research or projects, please cite the dataset appropriately to acknowledge its contributors.126 127## Contact128For any inquiries or further information about the dataset, please contact the dataset maintainers at [vinayhajare2004@gmail.com](mailto:vinayhajare2004@gmail.com).