Datasets:
metadata
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '7'
'7': '8'
'8': '9'
'9': a
'10': b
'11': c
'12': confused
'13': d
'14': e
'15': f
'16': g
'17': ganesh
'18': hi
'19': k
'20': l
'21': like
'22': m
'23': man
'24': 'n'
'25': p
'26': q
'27': r
'28': s
'29': scared
'30': study
'31': t
'32': u
'33': understand
'34': v
'35': w
'36': woman
'37': work
'38': x
'39': 'y'
'40': z
splits:
- name: train
num_bytes: 46827803.8
num_examples: 28600
download_size: 77981568
dataset_size: 46827803.8
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: mit
task_categories:
- image-classification
language:
- hi
tags:
- ai_for_good
- sign_language
- indian_sign_language
pretty_name: ISLAR-Dataset
size_categories:
- 10K<n<100K
Dataset Card for Indian Sign Language Recognition
Indian Sign Language Recognition Dataset. 🇮🇳
Dataset Details
Dataset Description
Approximately 30K images for Indian Sign Language Recognition.
- Curated by: Akshay Bahadur
- License: MIT
Capturing your own Dataset
- Hand Gestures:
- For capturing new hand gestures, run the file
capture_hand_gestures.py - Enter the gesture number to begin capturing the set of photos for that gesture
- A new folder with the gesture number (suppose
0) will be created under the foldergestures
- For capturing new hand gestures, run the file
Technical Paper
Citation
@misc{ISLAR,
author = {akshaybahadur21},
title = {ISLAR},
year = {2024},
publisher = {akshaybahadur21},
journal = {Hugging Face repository},
howpublished = {\url{https://huggingface.co/datasets/akshaybahadur21/ISLAR/}}
}
