{"id":28240323,"url":"https://github.com/jarif87/dog-breed-classification-app","last_synced_at":"2026-04-13T18:02:31.325Z","repository":{"id":293289018,"uuid":"983561089","full_name":"jarif87/Dog-Breed-Classification-App","owner":"jarif87","description":"Predict dog breeds from images using a pre-trained TensorFlow model with a simple Streamlit web app.","archived":false,"fork":false,"pushed_at":"2025-05-14T15:07:22.000Z","size":5527,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-12T04:40:15.334Z","etag":null,"topics":["app","dog-breed-classifier","image","opencv-python","python","streamlit"],"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/jarif87.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":"2025-05-14T15:05:32.000Z","updated_at":"2025-06-01T19:22:57.000Z","dependencies_parsed_at":"2025-05-14T16:36:58.516Z","dependency_job_id":null,"html_url":"https://github.com/jarif87/Dog-Breed-Classification-App","commit_stats":null,"previous_names":["jarif87/dog-breed-classification-app"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/jarif87/Dog-Breed-Classification-App","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jarif87%2FDog-Breed-Classification-App","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jarif87%2FDog-Breed-Classification-App/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jarif87%2FDog-Breed-Classification-App/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jarif87%2FDog-Breed-Classification-App/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jarif87","download_url":"https://codeload.github.com/jarif87/Dog-Breed-Classification-App/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jarif87%2FDog-Breed-Classification-App/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31764317,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-13T15:25:13.801Z","status":"ssl_error","status_checked_at":"2026-04-13T15:25:09.162Z","response_time":93,"last_error":"SSL_read: 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":["app","dog-breed-classifier","image","opencv-python","python","streamlit"],"created_at":"2025-05-19T03:13:01.008Z","updated_at":"2026-04-13T18:02:31.314Z","avatar_url":"https://github.com/jarif87.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Dog Breed Prediction Web App\r\n- This is a Dog Breed Prediction app built using Streamlit and TensorFlow. The app allows you to predict the breed of a dog based on an uploaded image through a simple terminal interface.\r\n\r\n## Features\r\n- Dog Breed Prediction: Upload an image of a dog, and the app will predict its breed using a trained model.\r\n\r\n- Model: A pre-trained TensorFlow model is used for dog breed classification.\r\n\r\n- Supported Formats: PNG, JPG, and JPEG image formats.\r\n\r\n# Technologies Used\r\n* Streamlit: To build the web interface for the application.\r\n\r\n* TensorFlow: For loading the pre-trained model and performing predictions.\r\n\r\n* OpenCV: To handle image processing for input images.\r\n\r\n# Setup Instructions\r\n\r\n1. **Clone the Repository:**\r\n**First, clone this repository to your local machine using Git.**\r\n```\r\ngit clone https://github.com/yourusername/dog-breed-prediction.git\r\ncd dog-breed-prediction\r\n```\r\n\r\n2. **Set Up Python Environment**\r\n**To avoid conflicts with other projects, it’s a good practice to set up a virtual environment.**\r\n\r\n```\r\npython3 -m venv env\r\nsource env/bin/activate  # On Windows, use `env\\Scripts\\activate`\r\n```\r\n\r\n3. **Install Required Libraries**\r\n**Install the required Python libraries using pip.**\r\n\r\n```\r\npip install -r requirements.txt\r\n```\r\n\r\n4. **Place the Pre-trained Model**\r\n**Make sure you have the pre-trained model file (my_model.keras) in the project directory. If you don't have it, either train the model or download a suitable pre-trained model for the dog breeds.**\r\n\r\n5. **Run the Streamlit App**\r\n**Start the Streamlit app in the terminal by running:**\r\n```\r\nstreamlit run app.py\r\n```\r\n# Usage\r\n* Upload Dog Image: Click on the \"Choose an image...\" button to upload an image of a dog.\r\n\r\n* Predict: After uploading, click the \"Predict\" button to get the breed prediction.\r\n\r\n* Result: The breed name will be displayed in the app as the predicted breed.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjarif87%2Fdog-breed-classification-app","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjarif87%2Fdog-breed-classification-app","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjarif87%2Fdog-breed-classification-app/lists"}