{"id":23903000,"url":"https://github.com/elfgk/date-fruit-image-processing","last_synced_at":"2026-05-17T00:10:05.586Z","repository":{"id":269353905,"uuid":"907148275","full_name":"elfgk/Date-Fruit-Image-Processing","owner":"elfgk","description":"Date Fruit Image Processing","archived":false,"fork":false,"pushed_at":"2024-12-29T22:17:29.000Z","size":433,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-04T22:52:54.244Z","etag":null,"topics":["cnn","cnn-keras","image-classification","image-processing","jupyter-notebook","keras-neural-networks","python"],"latest_commit_sha":null,"homepage":"https://www.kaggle.com/code/elfgkk/hurma-tan-ma-sistemi/edit","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/elfgk.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":"2024-12-22T23:56:03.000Z","updated_at":"2024-12-29T22:17:32.000Z","dependencies_parsed_at":"2024-12-23T00:38:33.896Z","dependency_job_id":"374e6e85-3832-4982-aa71-48db022743f4","html_url":"https://github.com/elfgk/Date-Fruit-Image-Processing","commit_stats":null,"previous_names":["elfgk/date-fruit-image-processing"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/elfgk%2FDate-Fruit-Image-Processing","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/elfgk%2FDate-Fruit-Image-Processing/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/elfgk%2FDate-Fruit-Image-Processing/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/elfgk%2FDate-Fruit-Image-Processing/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/elfgk","download_url":"https://codeload.github.com/elfgk/Date-Fruit-Image-Processing/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240304564,"owners_count":19780312,"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","cnn-keras","image-classification","image-processing","jupyter-notebook","keras-neural-networks","python"],"created_at":"2025-01-04T22:51:55.173Z","updated_at":"2025-10-08T08:14:40.833Z","avatar_url":"https://github.com/elfgk.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Date Fruit Image Processing\n\nThis project focuses on the processing and analysis of date fruit images. The goal is to develop a machine learning model that can classify and analyze images of date fruits, identifying features such as quality, ripeness, and defects.\n\n\n## Project Overview\n\nThe project includes the following steps:\n\n1. **Data Collection:**\n   - Images of date fruits were collected for training and testing the model.\n\n2. **Image Preprocessing:**\n   - Preprocessing techniques were applied to prepare the images for analysis. This includes resizing, normalization, and data augmentation.\n\n3. **Model Development:**\n   - A machine learning model (Convolutional Neural Network - CNN) was trained to classify the images into different categories (e.g., ripe, unripe, defective).\n\n4. **Model Evaluation:**\n   - The model's performance was evaluated using metrics such as accuracy, precision, recall, and F1 score.\n\n5. **Deployment (Optional):**\n   - The model can be deployed for real-time predictions or used in various applications related to quality control in the agricultural industry.\n\n## Dataset\n\nThe dataset used in this project consists of images of date fruits. The images are labeled into different categories based on the ripeness and quality of the fruit.\n\n- `ripe`: Images of fully ripe date fruits.\n- `unripe`: Images of unripe date fruits.\n- `defective`: Images of defective or damaged date fruits.\n\n## Libraries Used\n\n- `tensorflow` and `keras`: For building and training the deep learning model.\n- `opencv` and `PIL`: For image processing.\n- `numpy` and `pandas`: For data manipulation.\n- `matplotlib` and `seaborn`: For data visualization.\n\n## Getting Started\n\nTo get started with this project, follow these steps:\n\n1. Clone or download the repository:\n\n   ```bash\n   git clone https://github.com/elfgk/Date-Fruit-Image-Processing.git\n   ```\n2. Install the required Python libraries.\n\n3. Open the date_fruit_image_processing.ipynb Jupyter notebook and follow the steps for data preprocessing, model training, and evaluation.\n\n\u003ch1 align=\"center\"\u003e 𓍢ִ໋☕️✧˚ ༘ ⋆ \u003c/h1\u003e\n\n\u003ch1\u003e Contact Me🧑‍💻: \u003c/h1\u003e\n\n[![LinkedIn](https://img.shields.io/badge/LinkedIn-0A66C2?style=for-the-badge\u0026logo=linkedin\u0026logoColor=white)](https://www.linkedin.com/in/elfgk/)\n[![Hugging Face](https://img.shields.io/badge/HuggingFace-9C30FF?style=for-the-badge\u0026logo=huggingface\u0026logoColor=white)](https://huggingface.co/elfgk)\n[![Kaggle](https://img.shields.io/badge/Kaggle-20BEFF?style=for-the-badge\u0026logo=kaggle\u0026logoColor=white)](https://www.kaggle.com/elfgkk)\n[![Stack Overflow](https://img.shields.io/badge/StackOverflow-FE7A16?style=for-the-badge\u0026logo=stackoverflow\u0026logoColor=white)](https://stackoverflow.com/users/27559679/elfgk)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Felfgk%2Fdate-fruit-image-processing","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Felfgk%2Fdate-fruit-image-processing","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Felfgk%2Fdate-fruit-image-processing/lists"}