{"id":15848623,"url":"https://github.com/pythonista7/sign_language_digit_recognition","last_synced_at":"2025-10-19T06:45:25.492Z","repository":{"id":135374984,"uuid":"155097573","full_name":"Pythonista7/Sign_Language_Digit_Recognition","owner":"Pythonista7","description":"A simple CNN-classifier designed on keras to recognize Sign Language Digits. ","archived":false,"fork":false,"pushed_at":"2019-09-12T11:44:33.000Z","size":8923,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-02-07T11:52:16.665Z","etag":null,"topics":["2018","cnn-keras","imageclassification","keras-classification-models","notebook-jupyter","signlanguage"],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Pythonista7.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2018-10-28T17:36:35.000Z","updated_at":"2019-09-12T11:44:35.000Z","dependencies_parsed_at":null,"dependency_job_id":"f3b3f171-1994-48a0-b08c-cac87e9e7dac","html_url":"https://github.com/Pythonista7/Sign_Language_Digit_Recognition","commit_stats":{"total_commits":9,"total_committers":1,"mean_commits":9.0,"dds":0.0,"last_synced_commit":"ad3cfc90e1e0d74f03f0648034df65d63db7e106"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Pythonista7%2FSign_Language_Digit_Recognition","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Pythonista7%2FSign_Language_Digit_Recognition/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Pythonista7%2FSign_Language_Digit_Recognition/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Pythonista7%2FSign_Language_Digit_Recognition/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Pythonista7","download_url":"https://codeload.github.com/Pythonista7/Sign_Language_Digit_Recognition/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246684845,"owners_count":20817511,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["2018","cnn-keras","imageclassification","keras-classification-models","notebook-jupyter","signlanguage"],"created_at":"2024-10-05T18:04:19.173Z","updated_at":"2025-10-07T17:25:41.580Z","avatar_url":"https://github.com/Pythonista7.png","language":"Jupyter Notebook","readme":"# Sign_Language_Digit_Recognition\nA simple CNN-classifier designed on keras to recognize Sign Language Digits. \n\n  Kindly download the Dataset from the link below.(Optional , all the image data has already been pre-processed,vectorized and stored in X_data.npy and y_data.npy\n\nAnother attempt as I was learning OpenCV is linked here do check it out: https://github.com/Pythonista7/OpenCV_selfTut/blob/master/SignLangDigitRecogWOpenCV.ipynb\n\nOriginal Dataset courtesy : https://github.com/ardamavi/Sign-Language-Digits-Dataset\n\n  The following repository contains a jupyter notebook containing a detailed step-by-step instruction on how to build a image classifier in keras using a Convolutional Neural Net.\n\n  A imgdatagen.py file has been provide if you want to know how the images were convertd into the form of training data used on the jupyter notebook.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpythonista7%2Fsign_language_digit_recognition","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpythonista7%2Fsign_language_digit_recognition","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpythonista7%2Fsign_language_digit_recognition/lists"}