{"id":15158050,"url":"https://github.com/kushxkalsi/birds-image-classification-model","last_synced_at":"2026-01-20T18:56:22.582Z","repository":{"id":253985314,"uuid":"845137739","full_name":"KushxKalsi/Birds-Image-Classification-Model","owner":"KushxKalsi","description":"Image Classification Model using CNN to classify different birds species.","archived":false,"fork":false,"pushed_at":"2024-09-07T10:09:47.000Z","size":144280,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-13T18:20:03.959Z","etag":null,"topics":["cnn","deep-learning","image-classification","python","sklearn","tensorflow"],"latest_commit_sha":null,"homepage":"https://birds-image-classification-model-3gtmbjda9chcmmhphcb3nk.streamlit.app/","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/KushxKalsi.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":"2024-08-20T16:49:29.000Z","updated_at":"2024-09-07T10:09:51.000Z","dependencies_parsed_at":"2024-09-07T11:38:59.277Z","dependency_job_id":null,"html_url":"https://github.com/KushxKalsi/Birds-Image-Classification-Model","commit_stats":{"total_commits":26,"total_committers":1,"mean_commits":26.0,"dds":0.0,"last_synced_commit":"b346af69e56767e19a45383d8e40a79e4a051f4b"},"previous_names":["kushxkalsi/birds-image-classification-model"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/KushxKalsi%2FBirds-Image-Classification-Model","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/KushxKalsi%2FBirds-Image-Classification-Model/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/KushxKalsi%2FBirds-Image-Classification-Model/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/KushxKalsi%2FBirds-Image-Classification-Model/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/KushxKalsi","download_url":"https://codeload.github.com/KushxKalsi/Birds-Image-Classification-Model/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247684308,"owners_count":20979044,"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","deep-learning","image-classification","python","sklearn","tensorflow"],"created_at":"2024-09-26T20:22:06.197Z","updated_at":"2026-01-20T18:56:22.540Z","avatar_url":"https://github.com/KushxKalsi.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Image Classification: Birds Species\n\nThis project is an image classification model designed to identify birds species using deep learning techniques. The model is built using TensorFlow and Keras, and it is deployed on a Streamlit web application, where users can input image URLs for prediction.\n\n![Project Banner](Images/Home_Page.png)\n\n## Project Structure\n\n- **Data**: The model is trained using a dataset containing images of various bird species.\n- **Dataset**: `https://www.kaggle.com/datasets/gpiosenka/100-bird-species`\n- **Model**: The model is a Convolutional Neural Network (CNN) optimized to classify images of Bird species with high accuracy.\n\n## Features\n\n- **Deep Learning**: Utilizes TensorFlow and Keras for building and training the CNN model.\n- **Streamlit Integration**: The model is deployed on a Streamlit app, making it accessible via a web interface.\n- **URL-based Predictions**: Users can paste any image URL to get predictions on whether the image is of a Bird Species.\n\n## Usage\n\n1. **Open the Web App**: Launch the Streamlit app using the command above or use my app `https://birds-image-classification-model-3gtmbjda9chcmmhphcb3nk.streamlit.app/`.\n2. **Input Image URL**: Copy and paste an image URL into the input box. The image should be a direct link to a bird image.\n3. **Predict**: Click \"Enter\" button to see the model's prediction.\n\n## Model Details\n\n- **Architecture**: The model is a CNN with multiple layers including convolutional layers, pooling layers, and dense layers.\n- **Input Dimensions**: The images are resized to 180x180 pixels before being fed into the model.\n- **Training**: The model is trained on a well-organized dataset with separate directories for training, validation, and testing.\n\n## Example\n\n- **URL**: Use this example image URL: `https://github.com/KushxKalsi/Birds-Image-Classification-Model/blob/main/Images/Crow.jpg?raw=true`\n- **APP URL**: https://birds-image-classification-model-3gtmbjda9chcmmhphcb3nk.streamlit.app/\n- **Prediction**: The model will predict \"Bird_Species\".\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkushxkalsi%2Fbirds-image-classification-model","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkushxkalsi%2Fbirds-image-classification-model","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkushxkalsi%2Fbirds-image-classification-model/lists"}