{"id":19492176,"url":"https://github.com/namansnghl/cifar-100","last_synced_at":"2025-06-16T23:32:43.202Z","repository":{"id":236206634,"uuid":"789278346","full_name":"namansnghl/CIFAR-100","owner":"namansnghl","description":"Multiclass Image Classification","archived":false,"fork":false,"pushed_at":"2024-04-26T03:54:50.000Z","size":3378,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-08T08:47:47.988Z","etag":null,"topics":["cnn-model","image-processing","svm-classifier"],"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/namansnghl.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}},"created_at":"2024-04-20T05:33:03.000Z","updated_at":"2024-04-26T03:56:07.000Z","dependencies_parsed_at":"2024-04-26T04:50:49.171Z","dependency_job_id":null,"html_url":"https://github.com/namansnghl/CIFAR-100","commit_stats":null,"previous_names":["namansnghl/cifar-100"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/namansnghl%2FCIFAR-100","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/namansnghl%2FCIFAR-100/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/namansnghl%2FCIFAR-100/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/namansnghl%2FCIFAR-100/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/namansnghl","download_url":"https://codeload.github.com/namansnghl/CIFAR-100/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240738121,"owners_count":19849549,"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":["cnn-model","image-processing","svm-classifier"],"created_at":"2024-11-10T21:19:41.467Z","updated_at":"2025-02-25T20:16:32.050Z","avatar_url":"https://github.com/namansnghl.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Image Classification with CIFAR100\n\n## About Dataset\nThe CIFAR-100 dataset is a collection of 60,000 32x32 colored images divided into 100 fine-grained classes. It's a popular benchmark dataset for image classification tasks, particularly in computer vision research. Here's a breakdown of its key characteristics:\n\n- **Number of Classes**: 100 (fine-grained categories)\n- **Number of Images**: 60,000 (50,000 training images, 10,000 testing images)\n- **Image Size**: 32x32 pixels (RGB color channels)\n- **Class Hierarchy**: The 100 classes are further organized into 20 superclasses (e.g., \"mammals\", \"vehicles\", \"musical instruments\"). Each image has a \"fine\" label (specific class) and a \"coarse\" label (superclass).\n\nThe fine-grained nature of the classes (e.g., distinguishing between different types of airplanes or dogs) makes CIFAR-100 a more challenging dataset compared to CIFAR-10, which has only 10 object categories.\n\n\n## Methods\n\n### Support Vector Machine\n\n### Feed forward Neural Network\n\n### Convolution Neural Network\n\n## Analysis\n\n## Results\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnamansnghl%2Fcifar-100","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnamansnghl%2Fcifar-100","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnamansnghl%2Fcifar-100/lists"}