{"id":25531833,"url":"https://github.com/lmicovic/neural-network-image-recognition","last_synced_at":"2026-04-02T03:09:18.979Z","repository":{"id":266125462,"uuid":"897480578","full_name":"lmicovic/neural-network-image-recognition","owner":"lmicovic","description":"Application that recognize clothes items from images.","archived":false,"fork":false,"pushed_at":"2024-12-02T18:57:14.000Z","size":8736,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-05-22T11:35:50.583Z","etag":null,"topics":["fashion-mnist","keras","machine-learning","mathplotlib","mnist-classification","neural-network","numpy","opencv","pandas","python3","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/lmicovic.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":"2024-12-02T17:48:57.000Z","updated_at":"2024-12-02T19:00:08.000Z","dependencies_parsed_at":"2024-12-03T02:33:32.466Z","dependency_job_id":null,"html_url":"https://github.com/lmicovic/neural-network-image-recognition","commit_stats":null,"previous_names":["lmicovic/neural-network-image-recognition"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/lmicovic/neural-network-image-recognition","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lmicovic%2Fneural-network-image-recognition","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lmicovic%2Fneural-network-image-recognition/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lmicovic%2Fneural-network-image-recognition/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lmicovic%2Fneural-network-image-recognition/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/lmicovic","download_url":"https://codeload.github.com/lmicovic/neural-network-image-recognition/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lmicovic%2Fneural-network-image-recognition/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31294883,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-02T01:43:37.129Z","status":"online","status_checked_at":"2026-04-02T02:00:08.535Z","response_time":89,"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":["fashion-mnist","keras","machine-learning","mathplotlib","mnist-classification","neural-network","numpy","opencv","pandas","python3","tensorflow"],"created_at":"2025-02-20T01:41:54.902Z","updated_at":"2026-04-02T03:09:18.967Z","avatar_url":"https://github.com/lmicovic.png","language":"Jupyter Notebook","readme":"\n# Image Data Analysis\n## Project Description\n\nThis project focuses on the [FashionMNIST](https://www.kaggle.com/datasets/zalando-research/fashionmnist) dataset, which serves as a more exciting and challenging variant of the well-known [MNIST](https://en.wikipedia.org/wiki/MNIST_database) dataset of handwritten digits.\n\nThe dataset consists of grayscale images with dimensions of 28x28 pixels, containing 60,000 training images and 10,000 test images.\n\n\n### Project Objectives\n\n 1. **Neural Network Construction**\n\nThe first part of the project requires building a neural network using the [Keras library](https://keras.io/), achieving an accuracy of at least 85% on the [FashionMNIST](https://www.kaggle.com/datasets/zalando-research/fashionmnist)  test set. The neural network will be trained on a sample of 10,000 training images for efficiency.\n\n  \n\n2. **Image Processing and Object Recognition**\n\nThe second part involves additional image processing using the [OpenCV library](https://opencv.org/) to recognize multiple clothing items in a single image. Several test cases have been prepared for this purpose, consisting of 512x512 images on a white background (with noise) featuring approximately 10 clothing items. The items may be randomly scaled but are always correctly oriented.\n\nThe [neural network](https://en.wikipedia.org/wiki/Neural_network_%28machine_learning%29) identifies all clothing items in each test case, drawing bounding boxes around them in blue. Additionally, the program displays the class of each clothing item in red.\n\n  \n\n## Requirements\n\n  \n\n- [Python 3.x](https://www.python.org/downloads/)\n\n- [Keras](https://keras.io/)\n\n- [TensorFlow](https://www.tensorflow.org/)\n\n- [OpenCV](https://opencv.org/)\n\n- [NumPy](https://numpy.org/)\n\n- [Matplotlib](https://matplotlib.org/) (optional, for visualizations)\n\n  \n\n## Installation\n\n  \n\n1. Clone this repository:\n\n```bash\n\ngit clone https://github.com/lmicovic/neural-network-image-recognition.git\n\n```\n\n  \n\n2. Navigate to the project directory:\n\n```bash\n\ncd project\n\n```\n\n  \n\n3. Install the required packages:\n\n```bash\n\npip install -r requirements.txt\n\n```\n\n4. Verify that dependencies are installed:\n\n```bash\n\npip list\n\n```\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flmicovic%2Fneural-network-image-recognition","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flmicovic%2Fneural-network-image-recognition","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flmicovic%2Fneural-network-image-recognition/lists"}