{"id":16277954,"url":"https://github.com/cyanosite/intel-image-classification","last_synced_at":"2025-11-17T15:06:32.808Z","repository":{"id":200359151,"uuid":"705298576","full_name":"Cyanosite/Intel-Image-Classification","owner":"Cyanosite","description":"Image classification using Deep Convolutional Neural Networks","archived":false,"fork":false,"pushed_at":"2024-02-28T21:36:08.000Z","size":3472,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-08T17:31:06.764Z","etag":null,"topics":[],"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":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Cyanosite.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":"2023-10-15T16:19:17.000Z","updated_at":"2025-03-30T23:54:52.000Z","dependencies_parsed_at":null,"dependency_job_id":"f2389b20-c3cf-45a0-a988-132762236b38","html_url":"https://github.com/Cyanosite/Intel-Image-Classification","commit_stats":null,"previous_names":["cyanosite/intel-image-classification"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Cyanosite/Intel-Image-Classification","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Cyanosite%2FIntel-Image-Classification","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Cyanosite%2FIntel-Image-Classification/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Cyanosite%2FIntel-Image-Classification/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Cyanosite%2FIntel-Image-Classification/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Cyanosite","download_url":"https://codeload.github.com/Cyanosite/Intel-Image-Classification/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Cyanosite%2FIntel-Image-Classification/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":284902779,"owners_count":27081949,"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":"2025-11-17T02:00:06.431Z","response_time":55,"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":[],"created_at":"2024-10-10T18:56:51.279Z","updated_at":"2025-11-17T15:06:32.790Z","avatar_url":"https://github.com/Cyanosite.png","language":"Jupyter Notebook","readme":"# Intel Image Classification\n\n## Overview\nThis project aims to classify images into different classes using a deep learning model. The dataset consists of images related to various classes from the Intel Image classification dataset.\n\n## Dataset\nThe dataset contains images from the following classes:\n1. Forest\n2. Street\n3. Mountain\n4. Sea\n5. Building\n6. Glacier\n\n![Dataset](img/categories.png)\n\n## Model Accuracy\nThe trained model achieved an accuracy of 87.4% on the validation dataset.\n\n![Accuracy](img/model_accuracy.png)\n\n## Prediction Example\nHere is an example of how the model predicts the class of an image:\n\n![Prediction Example](img/prediction.png)\n\n## Installation\n1. Clone the repository.\n2. Install the required dependencies by running the following command:\n    ```\n    pip install -r requirements.txt\n    ```\n\n## Usage\nTo use this project, follow these steps:\n\n1. Launch Jupyter Notebook by running the following command:\n    ```\n    jupyter notebook\n    ```\n2. Open the `solution.ipynb` notebook in Jupyter Notebook.\n3. Follow the instructions in the notebook to classify images using the trained model.\n\nNote: Make sure you have the necessary hardware and software requirements to run Jupyter Notebook.\n\n## Contributing\nContributions are welcome! If you find any issues or have suggestions for improvement, please open an issue or submit a pull request.\n\n## License\nThis project is licensed under the [MIT License](LICENSE).","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcyanosite%2Fintel-image-classification","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcyanosite%2Fintel-image-classification","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcyanosite%2Fintel-image-classification/lists"}