{"id":18644846,"url":"https://github.com/zuruoke/race_classification_using_deep_convnet","last_synced_at":"2025-11-05T02:30:34.285Z","repository":{"id":113055789,"uuid":"251374677","full_name":"zuruoke/Race_Classification_Using_Deep_CONVNET","owner":"zuruoke","description":"Using a Deep CONVNET to Build a Model for Classifying Different Races such as Mongoloid, Negroid \u0026 Caucasian ","archived":false,"fork":false,"pushed_at":"2020-05-28T20:54:12.000Z","size":842,"stargazers_count":2,"open_issues_count":1,"forks_count":0,"subscribers_count":3,"default_branch":"master","last_synced_at":"2024-12-27T11:32:21.323Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter 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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Race_Classification_Using_Deep_CONVNET\nUsing a Deep CONVNET to Build a Model for Classifying Different Races such as Mongoloid, Negroid and Caucasian\n\nThis kernel uses a deep CONVNET that was trained on Google GPU to perform Race Classification on a zipped file containing faces of different races.\n\nEach of the image are either labelled as:\n\n- Caucasian: includes people of American and European descent, also known as whites\n\n- Mongoloid: includes people of Asian descent, especially Eastern Asian\n \n- Negroid: includes people of African descent or black Americans\n\nThe zip Dataset contains various images of faces of different races which was aggregated from https://www.shutterstock.com/ \n\nI'll use it to build an face image classifier using a **tf.keras.Sequential.model** and build a data(input data pipline) using **tf.keras.preprocessing.image.ImageDataGenerator.**\n\nThis project workflow includes:\n\n- Loading the zipped dataset from my google drive\n\n- Examining and understanding the dataset\n\n- Building a Data Image input pipeline\n\n- Building a Deep CONVNET Architecture\n\n- Training a CNN model\n\n- Testing the model\n\n- Using the model for prediction on new data\n\n\nAll these will be done with tensorflow 2.x.\n\n# RESULTS\n\n![3444](https://user-images.githubusercontent.com/51057490/82643128-edb4b000-9c06-11ea-8688-4f18cfe51fb3.JPG)\n\n![4555](https://user-images.githubusercontent.com/51057490/82643139-f311fa80-9c06-11ea-95b9-8ff069342b3e.JPG)\n\n![44666](https://user-images.githubusercontent.com/51057490/82643148-f6a58180-9c06-11ea-98b1-96b0164d09f6.JPG)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzuruoke%2Frace_classification_using_deep_convnet","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fzuruoke%2Frace_classification_using_deep_convnet","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzuruoke%2Frace_classification_using_deep_convnet/lists"}