{"id":19256583,"url":"https://github.com/sunnybibyan/image-classification","last_synced_at":"2025-02-23T17:43:03.899Z","repository":{"id":258946479,"uuid":"870029181","full_name":"SunnyBibyan/Image-Classification","owner":"SunnyBibyan","description":"This project implements a Convolutional Neural Network (CNN) to classify images from the CIFAR-10 dataset, which consists of 60,000 32x32 color images across 10 classes: airplane, automobile, bird, cat, deer, dog, frog, horse, ship, and truck.","archived":false,"fork":false,"pushed_at":"2024-10-21T07:08:38.000Z","size":116,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-05T08:55:11.375Z","etag":null,"topics":["batchnormalization","cnn-keras","early-stopping-with-patience","image-classification"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/SunnyBibyan.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2024-10-09T10:14:55.000Z","updated_at":"2024-10-21T07:14:19.000Z","dependencies_parsed_at":null,"dependency_job_id":"961b3453-f169-445d-9869-ef2a5d2d5a57","html_url":"https://github.com/SunnyBibyan/Image-Classification","commit_stats":null,"previous_names":["sunnybibyan/image-classification"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SunnyBibyan%2FImage-Classification","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SunnyBibyan%2FImage-Classification/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SunnyBibyan%2FImage-Classification/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SunnyBibyan%2FImage-Classification/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/SunnyBibyan","download_url":"https://codeload.github.com/SunnyBibyan/Image-Classification/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240356096,"owners_count":19788512,"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":["batchnormalization","cnn-keras","early-stopping-with-patience","image-classification"],"created_at":"2024-11-09T19:06:14.742Z","updated_at":"2025-02-23T17:43:03.894Z","avatar_url":"https://github.com/SunnyBibyan.png","language":"Jupyter Notebook","readme":"# CIFAR-10 CNN Classifier\n\nThis project demonstrates a CNN-based approach to classify images from the CIFAR-10 dataset using TensorFlow and Keras.\n\n## How to Run\n1. Install dependencies:\n   ```bash\n   pip install -r requirements.txt\n## Summary\nThe trained model reached a test accuracy of over 89% with a relatively simple model-structure and only minor overfitting due to different regularization techniques like Dropout, and EarlyStopping. But there is still a lot of optimization potential.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsunnybibyan%2Fimage-classification","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsunnybibyan%2Fimage-classification","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsunnybibyan%2Fimage-classification/lists"}