{"id":20244467,"url":"https://github.com/omkarpattnaik8080/clothingclassification","last_synced_at":"2026-02-10T22:02:20.055Z","repository":{"id":227910986,"uuid":"772700439","full_name":"omkarpattnaik8080/ClothingClassification","owner":"omkarpattnaik8080","description":"\"Developing a deep learning model for fashion classification, distinguishing clothing items with high accuracy, leveraging convolutional neural networks for image recognition and feature extraction.\"","archived":false,"fork":false,"pushed_at":"2024-09-28T04:57:13.000Z","size":971,"stargazers_count":4,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-08-24T13:39:19.467Z","etag":null,"topics":["cnn-keras","data-science","deep-learning","machine-learning","tensorflow"],"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/omkarpattnaik8080.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,"zenodo":null}},"created_at":"2024-03-15T17:59:36.000Z","updated_at":"2025-04-15T03:45:42.000Z","dependencies_parsed_at":null,"dependency_job_id":"0d0c7ec3-8cdc-4551-bec9-853d8e1f9d13","html_url":"https://github.com/omkarpattnaik8080/ClothingClassification","commit_stats":null,"previous_names":["omkarpattnaik8080/clothingclassification"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/omkarpattnaik8080/ClothingClassification","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/omkarpattnaik8080%2FClothingClassification","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/omkarpattnaik8080%2FClothingClassification/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/omkarpattnaik8080%2FClothingClassification/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/omkarpattnaik8080%2FClothingClassification/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/omkarpattnaik8080","download_url":"https://codeload.github.com/omkarpattnaik8080/ClothingClassification/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/omkarpattnaik8080%2FClothingClassification/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29319250,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-10T20:44:44.282Z","status":"ssl_error","status_checked_at":"2026-02-10T20:44:43.393Z","response_time":65,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["cnn-keras","data-science","deep-learning","machine-learning","tensorflow"],"created_at":"2024-11-14T09:15:31.940Z","updated_at":"2026-02-10T22:02:19.995Z","avatar_url":"https://github.com/omkarpattnaik8080.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Clothing Classification with Deep Learning\n\n## Overview\nThis project focuses on developing a deep learning model for classifying clothing items. Utilizing convolutional neural networks (CNNs), the model accurately identifies various types of apparel from images.\n\n## Requirements\n- Python 3.x\n- TensorFlow or PyTorch\n- NumPy\n- Matplotlib\n- Fashion MNIST dataset (or similar)\n\n## Usage\n1. Prepare the dataset:\n   - Download the Fashion MNIST dataset or use a similar dataset.\n   - Organize the dataset into training, validation, and test sets.\n2. Train the model:\n   - Execute the training script.\n3. Evaluate the model:\n   - Run the evaluation script.\n4. Predictions:\n   - Utilize the trained model for predictions on new clothing images.\n\n## Model Architecture\n- Convolutional Neural Network (CNN)\n  - Multiple convolutional layers for feature extraction\n  - Pooling layers for dimensionality reduction\n  - Fully connected layers for classification\n\n## Results\n- Achieved accuracy: [80.75%]\n- Loss curve: [20.25%]\n\n## License\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n## Acknowledgments\n- Inspired by similar projects on clothing classification.\n- Grateful for the open-source community for providing valuable resources and datasets.\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fomkarpattnaik8080%2Fclothingclassification","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fomkarpattnaik8080%2Fclothingclassification","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fomkarpattnaik8080%2Fclothingclassification/lists"}