58 datasets found
  1. Indian Sign Language Dataset

    • kaggle.com
    zip
    Updated Oct 4, 2020
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    Vaishnavi Sonawane (2020). Indian Sign Language Dataset [Dataset]. https://www.kaggle.com/datasets/vaishnaviasonawane/indian-sign-language-dataset
    Explore at:
    zip(280817962 bytes)Available download formats
    Dataset updated
    Oct 4, 2020
    Authors
    Vaishnavi Sonawane
    Description

    Dataset

    This dataset was created by Vaishnavi Sonawane

    Contents

  2. m

    ISL-CSLTR: Indian Sign Language Dataset for Continuous Sign Language...

    • data.mendeley.com
    Updated Jan 22, 2021
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    Elakkiya R (2021). ISL-CSLTR: Indian Sign Language Dataset for Continuous Sign Language Translation and Recognition [Dataset]. http://doi.org/10.17632/kcmpdxky7p.1
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    Dataset updated
    Jan 22, 2021
    Authors
    Elakkiya R
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Sign language is a cardinal element for communication between deaf and dumb community. Sign language has its own grammatical structure and gesticulation nature. Research on SLRT focuses a lot of attention in gesture identification. Sign language comprises of manual gestures performed by hand poses and non-manual features expressed through eye, mouth and gaze movements. The sentence-level completely labelled Indian Sign Language dataset for Sign Language Translation and Recognition (SLTR) research is developed. The ISL-CSLTR dataset assists the research community to explore intuitive insights and to build the SLTR framework for establishing communication with the deaf and dumb community using advanced deep learning and computer vision methods for SLTR purposes. This ISL-CSLTR dataset aims in contributing to the sentence level dataset created with two native signers from Navajeevan, Residential School for the Deaf, College of Spl. D.Ed & B.Ed, Vocational Centre, and Child Care & Learning Centre, Ayyalurimetta, Andhra Pradesh, India and four student volunteers from SASTRA Deemed University, Thanjavur, Tamilnadu. The ISL-CSLTR corpus consists of a large vocabulary of 700 fully annotated videos, 18863 Sentence level frames, and 1036 word level images for 100 Spoken language Sentences performed by 7 different Signers. This corpus is arranged based on signer variants and time boundaries with fully annotated details and it is made available publicly. The main objective of creating this sentence level ISL-CSLRT corpus is to explore more research outcomes in the area of SLTR. This completely labelled video corpus assists the researchers to build framework for converting spoken language sentences into sign language and vice versa. This corpus has been created to address the various challenges faced by the researchers in SLRT and significantly improves translation and recognition performance. The videos are annotated with relevant spoken language sentences provide clear and easy understanding of the corpus data. Acknowledgements: The research was funded by the Science and Engineering Research Board (SERB), India under Start-up Research Grant (SRG)/2019–2021 (Grant no. SRG/2019/001338). And also, we thank all the signers for their contribution in collecting the sign videos and the successful completion of the ISL-CSLTR corpus. We would like to thank Navajeevan, Residential School for the Deaf, College of Spl. D.Ed & B.Ed, Vocational Centre, and Child Care & Learning Centre, Ayyalurimetta, Andhra Pradesh, India for their support and contribution.

  3. E

    Data from: INCLUDE: A Large Scale Dataset for Indian Sign Language...

    • live.european-language-grid.eu
    • data.niaid.nih.gov
    mov
    Updated May 9, 2022
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    (2022). INCLUDE: A Large Scale Dataset for Indian Sign Language Recognition [Dataset]. https://live.european-language-grid.eu/catalogue/lcr/7631
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    movAvailable download formats
    Dataset updated
    May 9, 2022
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Abstract: Indian Sign Language (ISL) is a complete language with its own grammar, syntax, vocabulary and several unique linguistic attributes. It is used by over 5 million deaf people in India. Currently, there is no publicly available dataset on ISL to evaluate Sign Language Recognition (SLR) approaches. In this work, we present the Indian Lexicon Sign Language Dataset - INCLUDE - an ISL dataset that contains 0.27 million frames across 4,287 videos over 263 word signs from 15 different word categories. INCLUDE is recorded with the help of experienced signers to provide close resemblance to natural conditions. A subset of 50 word signs is chosen across word categories to define INCLUDE-50 for rapid evaluation of SLR methods with hyperparameter tuning. The best performing model achieves an accuracy of 94.5% on the INCLUDE-50 dataset and 85.6% on the INCLUDE dataset. Download Instructions: For ease of access, we have prepared a Shell Script to download all the parts of the dataset and extract them to form the complete INCLUDE dataset.You can find the script here: http://bit.ly/include_dl

  4. g

    Indian Sign Language (ISL).

    • gts.ai
    • meinfotech.com
    json
    Updated May 1, 2024
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    GTS (2024). Indian Sign Language (ISL). [Dataset]. https://gts.ai/dataset-download/indian-sign-language-isl-dataset-ai-data-collection/
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    jsonAvailable download formats
    Dataset updated
    May 1, 2024
    Dataset provided by
    GLOBOSE TECHNOLOGY SOLUTIONS PRIVATE LIMITED
    Authors
    GTS
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    India
    Description

    Indian Sign Language (ISL) is a natural language used by the Deaf community in India for communication. It is a visual-gestural language that relies on a combination of handshapes, facial expressions, and body movements to convey meaning..

  5. m

    Indian Sign Language Video and Text dataset for sentences (ISLVT)

    • data.mendeley.com
    Updated Mar 28, 2024
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    Indian Sign Language Video and Text dataset for sentences (ISLVT) [Dataset]. https://data.mendeley.com/datasets/98mzk82wbb/1
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    Dataset updated
    Mar 28, 2024
    Authors
    Prachi Waghmare
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    India
    Description

    This video and gloss-based dataset has been meticulously crafted to enhance the precision and resilience of ISL (Indian Sign Language) gesture recognition and generation systems. Our goal in sharing this dataset is to contribute to the research community, providing a valuable resource for fellow researchers to explore and innovate in the realm of sign language recognition and generation.Overview of the Dataset: Comprising a diverse array of ISL gesture videos and gloss datasets. The term "gloss" in this context often refers to a written or spoken description of the meaning of a sign, allowing for the representation of sign language in a written form. The dataset includes information about the corresponding spoken or written language and the gloss for each sign. Key components of a sign language gloss dataset include ISL grammar that follows a layered approach, incorporating specific spatial indices for tense and a lexicon with compounds. It follows a unique word order based on noun, verb, object, adjective, or part of a question. Marathi sign language follows the subject-object-verb (SOV) form, facilitating comprehension and adaptation to regional languages. This Marathi sign language gloss aims to become a medium for everyday communication among deaf individuals. This dataset reflects a careful curation process, simulating real-world scenarios. The original videos showcase a variety of gestures performed by a professional signer capturing a broad spectrum of sign language expressions. Incorporating Realism with green screen with controlled lighting conditions. All videos within this dataset adhere to pixels, ensuring uniformity for data presentation and facilitating streamlined pre-processing and model development stored in a format compatible with various machine and Deep learning frameworks, these videos seamlessly integrate into the research pipeline

  6. ISL - Indian Sign Language Video Dataset

    • kaggle.com
    zip
    Updated Feb 18, 2024
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    Harsh0239 (2024). ISL - Indian Sign Language Video Dataset [Dataset]. https://www.kaggle.com/datasets/harsh0239/isl-indian-sign-language-video-dataset
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    zip(2134163264 bytes)Available download formats
    Dataset updated
    Feb 18, 2024
    Authors
    Harsh0239
    Description

    Dataset

    This dataset was created by Harsh0239

    Contents

  7. m

    Dataset of Common phrases in Indian Sign Language

    • data.mendeley.com
    Updated May 19, 2022
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    Kaushik Sanjiv Gurav (2022). Dataset of Common phrases in Indian Sign Language [Dataset]. http://doi.org/10.17632/y8vg69brn2.1
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    Dataset updated
    May 19, 2022
    Authors
    Kaushik Sanjiv Gurav
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    India
    Description

    Sign Language Recognition is a breakthrough for helping deaf-mute people and has been researched for many years. It is still a challenge for deaf and dumb people to normally have a conversation since most people aren’t acquainted with sign language. But owing to recent technology, we are better able to understand people using sign language. This dataset contains images of the most common phrases in Indian Sign Language. The images of ISL are captured using a standard webcam of a laptop with a resolution of 1280*720. These include 30 images of 40 different signs from ISL. Images are not filtered or resized, are captured under varying light intensities and different backgrounds, and stored in NumPy arrays. These images are of static sign language phrases and do not include any dynamic sign.

  8. i

    Indian Sign Language Skeletal-point NumPy array using MediaPipe

    • ieee-dataport.org
    Updated Apr 24, 2023
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    Jans Johnson (2023). Indian Sign Language Skeletal-point NumPy array using MediaPipe [Dataset]. http://doi.org/10.21227/6emn-2r12
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    Dataset updated
    Apr 24, 2023
    Dataset provided by
    IEEE Dataport
    Authors
    Jans Johnson
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The dataset consists of NumPy arrays for each alphabet in Indian Sign Language, excluding 'R'. The NumPy arrays denote the (x,y,z) coordinates of the skeletal points of the left and right hand (21 skeletal points each) for each alphabet. Each alphabet has 120 sequences, split into 30 frames each, giving 3600 .np files per alphabet, using MediaPipe. The dataset is created on the basis of skeletal-point action recognition and key-point collection.

  9. Indian Sign Language Dataset

    • kaggle.com
    zip
    Updated Mar 23, 2024
    + more versions
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    Priyaziya (2024). Indian Sign Language Dataset [Dataset]. https://www.kaggle.com/datasets/priyaziya/indian-sign-language-dataset
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    zip(890746208 bytes)Available download formats
    Dataset updated
    Mar 23, 2024
    Authors
    Priyaziya
    Description

    Dataset

    This dataset was created by Priyaziya

    Contents

  10. m

    Indian sign Language-Real-life Words

    • data.mendeley.com
    Updated Aug 10, 2022
    + more versions
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    Akansha Tyagi (2022). Indian sign Language-Real-life Words [Dataset]. http://doi.org/10.17632/s6kgb6r3ss.2
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    Dataset updated
    Aug 10, 2022
    Authors
    Akansha Tyagi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    India
    Description

    The dataset contains the RGB images of hand gestures of twenty ISL words, namely, ‘afraid’,’agree’,’assistance’,’bad’,’become’,’college’,’doctor’,’from’,’pain’,’pray’, ’secondary’, ’skin’, ’small’, ‘specific’, ‘stand’, ’today’, ‘warn’, ‘which’, ‘work’, ‘you’’ which are commonly used to convey messages or seek support during medical situations. All the words included in this dataset are static. The images were captured from 8 individuals including 6 males and 2 females in the age group of 9 years to 30 years. The dataset contains a 18000 images in jpg format. The images are labelled using the format ISLword_X_YYYY_Z, where: • ISLword corresponds to the words ‘afraid’, ‘agree’, ‘assistance’, ‘bad’, ‘become’, ‘college’, ‘doctor’ ,‘from’, ’pray’, ‘pain’, ‘secondary’, ‘skin’, ‘small’, ‘specific’, ‘stand’, ‘today’, ‘warn’, ‘which’, ‘work’, ‘you’. • X is an image number in the range 1 to 900. • YYYY is an identifier of the participant and is in the range of 1 to 6. • Z corresponds to 01 or 02 that identifies the sample number for each subject. For example, the file named afraid_1_user1_1 is the image sequence of the first sample of the ISL gesture of the word ‘afraid’ presented by the 1st user.

  11. m

    A Video Dataset of the Hand Gestures of Indian Sign Language Words used in...

    • data.mendeley.com
    Updated Aug 27, 2021
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    Adithya V (2021). A Video Dataset of the Hand Gestures of Indian Sign Language Words used in Emergency Situations [Dataset]. http://doi.org/10.17632/2vfdm42337.1
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    Dataset updated
    Aug 27, 2021
    Authors
    Adithya V
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    India
    Description

    The dataset includes videos files of the hand gestures of eight words (accident, call, doctor, help, hot, lose, pain, thief) from Indian sign language (ISL), commonly used to communicate during emergency situations. The data is useful for the researchers working on vision based automatic sign language recognition as well as hand gesture recognition.

    All the words included in the dataset, except the word doctor are dynamic hand gestures. The videos in this dataset were collected by asking the participants to stand comfortably behind a black colored board and present the hand gestures, in front of the board. A Sony cyber shot DSC-W810 digital camera with 20.1 mega pixel resolution has been used for capturing the videos.

    The videos have been collected from 26 individuals including 12 males and 14 females in the age group of 22 to 26 years. Two sample videos have been captured from each participant in an indoor environment under normal lighting conditions by placing the camera at a fixed distance. The dataset is presented in two folders with the original raw video sequences in one folder, and the cropped and downsampled video sequences in the other folder.

  12. Indian sign language

    • kaggle.com
    zip
    Updated Feb 17, 2024
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    Ayush Yajnik (2024). Indian sign language [Dataset]. https://www.kaggle.com/datasets/ayushyajnik/indian-sign-language
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    zip(1169 bytes)Available download formats
    Dataset updated
    Feb 17, 2024
    Authors
    Ayush Yajnik
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    India
    Description

    Dataset

    This dataset was created by Ayush Yajnik

    Released under MIT

    Contents

  13. Indian Sign Language Image Dataset

    • kaggle.com
    zip
    Updated Apr 21, 2021
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    Prince Gupta (2021). Indian Sign Language Image Dataset [Dataset]. https://www.kaggle.com/datasets/princegupta0353/indian-sign-language-image-dataset
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    zip(276430498 bytes)Available download formats
    Dataset updated
    Apr 21, 2021
    Authors
    Prince Gupta
    Description

    Dataset

    This dataset was created by Prince Gupta

    Contents

  14. P

    ISLTranslate Dataset

    • paperswithcode.com
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    Abhinav Joshi; Susmit Agrawal; Ashutosh Modi, ISLTranslate Dataset [Dataset]. https://paperswithcode.com/dataset/isltranslate
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    Authors
    Abhinav Joshi; Susmit Agrawal; Ashutosh Modi
    Description

    Sign languages are the primary means of communication for a large number of people worldwide. Recently, the availability of Sign language translation datasets have facilitated the incorporation of Sign language research in the NLP community. Though a wide variety of research focuses on improving translation systems for sign language, the lack of ample annotated resources hinders research in the data driven natural language processing community. In this resource paper, we introduce ISLTranslate, a translation dataset for continuous Indian Sign Language (ISL), consisting of 30k ISL-English sentence pairs. To the best of our knowledge, it is the first and largest translation dataset for continuous Indian Sign Language with corresponding English transcripts. We provide a detailed analysis of the dataset and examine the distribution of words and phrases covered in the proposed dataset. To validate the performance of existing end-to-end Sign language to spoken language translation systems, we benchmark the created dataset with multiple existing state-of-the-art systems for sign languages.

  15. m

    Static gestures of Indian Sign Language (ISL) for English Alphabet, Hindi...

    • data.mendeley.com
    Updated Aug 24, 2022
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    Animesh Singh (2022). Static gestures of Indian Sign Language (ISL) for English Alphabet, Hindi Vowels and Numerals [Dataset]. http://doi.org/10.17632/7tsw22y96w.1
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    Dataset updated
    Aug 24, 2022
    Authors
    Animesh Singh
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset consists of static hand gestures and lips movement for each character in the English alphabet, eight Hindi Vowels and ten Numerals as represented in Indian sign language (ISL). The dataset consists of 1,02,470 images of subjects from different age groups presenting static gestures under varied backgrounds and illumination conditions. The dataset is structured into three folders namely Kids, Teenagers and Adults. Each folder consists of sub-folders namely Full Sleeves and Half Sleeves indicating the type of clothing that the subject has worn at the time of image acquisition. In each sub-folders, images for the English alphabet, Hindi Vowels and Numerals are stored respectively in the sub-folders named with that specific character. However, for the English alphabet 'E' and Numeral '9' we have captured two different signs for each (that are used interchangeably), and it is contained in the folder namely E1 and E2 for alphabet 'E' and 9a and 9b for Numeral '9'. For the English alphabet, wherever a character is represented by a dynamic sign, the last frame of the sign is captured. For example, this is typically a case with English characters like 'J', 'H' and 'Y'. The images are stored in .jpeg format and have resolutions varying from 300 x 500 to 800 x 600, and the size is less than 100KB. The dataset is captured by a team pursuing research at Chandigarh College of Engineering and Technology, Chandigarh. The subjects have been informed about the research and Informed Participant Consent has been obtained prior to image acquisition. This dataset can be used only for research purposes either as it is or after cropping the static gestures from the image after duly referencing it. Any other use of the dataset is strictly prohibited and any illegal use is subject to the Indian court of law.

  16. Indian sign language data set 48x48

    • kaggle.com
    zip
    Updated Sep 10, 2024
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    KRISH BHAGAT (2024). Indian sign language data set 48x48 [Dataset]. https://www.kaggle.com/datasets/krishbhagat/indian-sign-language-data-set-48x48
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    zip(571957808 bytes)Available download formats
    Dataset updated
    Sep 10, 2024
    Authors
    KRISH BHAGAT
    License

    http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/

    Description

    Dataset

    This dataset was created by KRISH BHAGAT

    Released under Database: Open Database, Contents: Database Contents

    Contents

  17. R

    Indian Sign Language Dataset

    • universe.roboflow.com
    zip
    Updated Dec 14, 2023
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    Azam786 (2023). Indian Sign Language Dataset [Dataset]. https://universe.roboflow.com/azam786-xkyca/indian-sign-language-p1v82
    Explore at:
    zipAvailable download formats
    Dataset updated
    Dec 14, 2023
    Dataset authored and provided by
    Azam786
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Variables measured
    Hand Sign Language Bounding Boxes
    Description

    work in progress

  18. h

    Data from: iSign

    • huggingface.co
    Updated Jul 29, 2024
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    Exploration Lab (2024). iSign [Dataset]. https://huggingface.co/datasets/Exploration-Lab/iSign
    Explore at:
    Dataset updated
    Jul 29, 2024
    Dataset authored and provided by
    Exploration Lab
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    iSign: A Benchmark for Indian Sign Language Processing

    The iSign dataset serves as a benchmark for Indian Sign Language Processing. The dataset comprises of NLP-specific tasks (including SignVideo2Text, SignPose2Text, Text2Pose, Word Prediction, and Sign Semantics). The dataset is free for research use but not for commercial purposes.

      Quick Links
    

    Website: The landing page for iSign arXiv Paper: Detailed information about the iSign Benchmark. Dataset on Hugging… See the full description on the dataset page: https://huggingface.co/datasets/Exploration-Lab/iSign.

  19. Indian Sign Language DataSet

    • kaggle.com
    zip
    Updated May 13, 2021
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    chinmay d (2021). Indian Sign Language DataSet [Dataset]. https://www.kaggle.com/chinmayd20/indian-sign-language-dataset
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    zip(32026799 bytes)Available download formats
    Dataset updated
    May 13, 2021
    Authors
    chinmay d
    Description

    Dataset

    This dataset was created by chinmay d

    Contents

  20. m

    Indian Sign Language Depth data (Week days)

    • data.mendeley.com
    Updated Mar 18, 2024
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    Jestin Joy (2024). Indian Sign Language Depth data (Week days) [Dataset]. http://doi.org/10.17632/smt3f5bkj8.1
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    Dataset updated
    Mar 18, 2024
    Authors
    Jestin Joy
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    India
    Description

    This dataset contains depth data collected through Intel RealSense Depth Camera D435i. Data corresponding to Indian Sign Language (ISL) gesture of Weekdays (Sunday-Saturday) is used.

    Data is stored as comma separated values. Each line corresponds to a sign.

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Vaishnavi Sonawane (2020). Indian Sign Language Dataset [Dataset]. https://www.kaggle.com/datasets/vaishnaviasonawane/indian-sign-language-dataset
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Indian Sign Language Dataset

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11 scholarly articles cite this dataset (View in Google Scholar)
zip(280817962 bytes)Available download formats
Dataset updated
Oct 4, 2020
Authors
Vaishnavi Sonawane
Description

Dataset

This dataset was created by Vaishnavi Sonawane

Contents

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