{"id":21907128,"url":"https://github.com/vikram0230/natural-image-classification","last_synced_at":"2026-05-07T01:04:01.963Z","repository":{"id":263187342,"uuid":"327327157","full_name":"vikram0230/Natural-Image-Classification","owner":"vikram0230","description":"This Tensorflow model classifies 8 categories of images. InceptionResNetV2 is the source network chosen to build the model and the ImageNet dataset is the source domain it has been pre-trained. The model performs classification with an accuracy of 99%.","archived":false,"fork":false,"pushed_at":"2021-01-07T11:27:32.000Z","size":438,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-03-22T07:30:06.769Z","etag":null,"topics":["accuracy","classification","imagenet-dataset","kaggle"],"latest_commit_sha":null,"homepage":"","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/vikram0230.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":"2021-01-06T13:55:32.000Z","updated_at":"2021-01-19T03:38:41.000Z","dependencies_parsed_at":"2024-11-20T12:47:32.269Z","dependency_job_id":null,"html_url":"https://github.com/vikram0230/Natural-Image-Classification","commit_stats":null,"previous_names":["vikram0230/natural-image-classification"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/vikram0230/Natural-Image-Classification","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vikram0230%2FNatural-Image-Classification","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vikram0230%2FNatural-Image-Classification/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vikram0230%2FNatural-Image-Classification/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vikram0230%2FNatural-Image-Classification/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/vikram0230","download_url":"https://codeload.github.com/vikram0230/Natural-Image-Classification/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vikram0230%2FNatural-Image-Classification/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":273272560,"owners_count":25075985,"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","status":"online","status_checked_at":"2025-09-02T02:00:09.530Z","response_time":77,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["accuracy","classification","imagenet-dataset","kaggle"],"created_at":"2024-11-28T16:59:11.000Z","updated_at":"2026-05-07T01:03:56.937Z","avatar_url":"https://github.com/vikram0230.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Natural-Image-Classification\n\n[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1LRLi3PZKX5ndeQRkEDw3eATShs2FfUAv?usp=sharing)\n\n\u003ca href=\"https://www.kaggle.com/vkrm0230/natural-images-tensorflow-99-accuracy\" target=\"_blank\"\u003e\u003cimg src=\"https://www.kaggle.com/static/images/site-logo.png\" \nalt=\"Kaggle Notebook\" width=\"120\" border=\"10\" /\u003e\u003c/a\u003e\n\n### This Tensorflow model classifies 8 categories of images \n- Airplane\n- Car\n- Cat\n- Dog\n- Flower\n- Fruit\n- Motorbike\n- Person\n\n### Transfer Learning\n[InceptionResNetV2](https://keras.io/api/applications/inceptionresnetv2/) is the source network chosen to build the model and the ImageNet dataset is the source domain it has been pre-trained. The model performs classification with an accuracy of 99%.\n\nData Source: [Kaggle](https://www.kaggle.com/prasunroy/natural-images)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvikram0230%2Fnatural-image-classification","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvikram0230%2Fnatural-image-classification","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvikram0230%2Fnatural-image-classification/lists"}