{"id":24910273,"url":"https://github.com/udacity-machinelearning-internship/image_classifier","last_synced_at":"2025-07-23T20:05:52.589Z","repository":{"id":267846744,"uuid":"861011744","full_name":"Udacity-MachineLearning-Internship/image_classifier","owner":"Udacity-MachineLearning-Internship","description":"Image classifier project for Udacity \"Intro to machine learning with tensorflow\" program.","archived":false,"fork":false,"pushed_at":"2024-12-12T19:17:21.000Z","size":49003,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-28T01:57:51.148Z","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":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Udacity-MachineLearning-Internship.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":"2024-09-21T18:59:17.000Z","updated_at":"2024-12-17T19:07:34.000Z","dependencies_parsed_at":"2024-12-12T20:37:03.756Z","dependency_job_id":null,"html_url":"https://github.com/Udacity-MachineLearning-Internship/image_classifier","commit_stats":null,"previous_names":["barasedih11/image_classifier","udacity-machinelearning-internship/image_classifier"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Udacity-MachineLearning-Internship/image_classifier","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Udacity-MachineLearning-Internship%2Fimage_classifier","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Udacity-MachineLearning-Internship%2Fimage_classifier/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Udacity-MachineLearning-Internship%2Fimage_classifier/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Udacity-MachineLearning-Internship%2Fimage_classifier/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Udacity-MachineLearning-Internship","download_url":"https://codeload.github.com/Udacity-MachineLearning-Internship/image_classifier/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Udacity-MachineLearning-Internship%2Fimage_classifier/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":266738827,"owners_count":23976477,"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":"2025-07-23T02:00:09.312Z","response_time":66,"last_error":null,"robots_txt_status":null,"robots_txt_updated_at":null,"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":"2025-02-02T03:35:13.879Z","updated_at":"2025-07-23T20:05:52.560Z","avatar_url":"https://github.com/Udacity-MachineLearning-Internship.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cdiv align=\"center\"\u003e\n\n  ![Image_Classifier](https://github.com/user-attachments/assets/4d36abb4-c14a-4fd9-9350-d3a7a1a89072)\n\n   ![GitHub repo size](https://img.shields.io/github/repo-size/BaraSedih11/image_classifier) ![GitHub repo file count (file type)](https://img.shields.io/github/directory-file-count/BaraSedih11/image_classifier) [![Python Version](https://img.shields.io/badge/python-3.8-blue)](https://www.python.org/downloads/release/python-380/)\n[![Pip Version](https://img.shields.io/badge/pip-21.0-orange)](https://pypi.org/project/pip/21.0/)\n ![GitHub last commit (branch)](https://img.shields.io/github/last-commit/BaraSedih11/image_classifier/main)\n[![Version](https://img.shields.io/badge/version-v1.0.0-blue)](https://github.com/BaraSedih11/image_classifier/releases/tag/v1.0.0)\n[![Contributors](https://img.shields.io/github/contributors/BaraSedih11/image_classifier)](https://github.com/BaraSedih11/image_classifier/graphs/contributors)\n![GitHub pull requests](https://img.shields.io/github/issues-pr-raw/BaraSedih11/image_classifier)\n\u003c/div\u003e\n\n\nThis project demonstrates the implementation of an image classification model using **TensorFlow**. It utilizes **transfer learning** with a pre-trained **MobileNet** model to classify images into multiple categories, showcasing the power of modern machine learning techniques.\n\n## Project Overview\n- **Dataset**: The model is trained on the **Oxford Flowers 102** dataset.\n- **Model**: Transfer learning with MobileNet for feature extraction.\n- **Application**: A command-line tool for image classification.\n\n## Features\n- Data preprocessing pipelines for resizing and normalizing images.\n- Transfer learning for efficient model training.\n- Command-line application for inference, including top-K predictions and class mapping.\n\n## Technologies Used\n- **Python**\n- **TensorFlow** and **TensorFlow Hub**\n- **Matplotlib** for data visualization\n\n## Installation and Usage\n1. Clone the repository:\n   ```bash\n   git clone https://github.com/BaraSedih11/image_classifier.git\n   ```\n2. Install the required libraries:\n  ```bash\n  pip install -r requirements.txt\n  ```\n3. Train the model:\n  ```bash\n  python train.py\n  ```\n4. Use the trained model to classify images:\n  ```bash\n  python predict.py --image_path \u003cpath_to_image\u003e --model_path \u003cpath_to_model\u003e\n  ```\n\n## Results\n* Achieved high accuracy in classifying flower species using transfer learning.\n* Provided a flexible and easy-to-use tool for image classification tasks.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fudacity-machinelearning-internship%2Fimage_classifier","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fudacity-machinelearning-internship%2Fimage_classifier","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fudacity-machinelearning-internship%2Fimage_classifier/lists"}