{"id":20011259,"url":"https://github.com/shoaib-33/fighter-jet-recognizer","last_synced_at":"2026-05-12T17:46:57.464Z","repository":{"id":184701272,"uuid":"672332906","full_name":"Shoaib-33/Fighter-Jet-Recognizer","owner":"Shoaib-33","description":"A project to recognize Fighter Jet image providing input image of the Jet.","archived":false,"fork":false,"pushed_at":"2023-08-01T16:00:26.000Z","size":18898,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-12T14:47:37.156Z","etag":null,"topics":["computer-vision","deep-learning","huggingface","machine-learning","webscraping"],"latest_commit_sha":null,"homepage":"https://shoaib-33.github.io/Fighter-Jet-Recognizer/","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Shoaib-33.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":"2023-07-29T17:59:35.000Z","updated_at":"2023-08-01T15:48:39.000Z","dependencies_parsed_at":"2024-11-13T07:39:06.100Z","dependency_job_id":null,"html_url":"https://github.com/Shoaib-33/Fighter-Jet-Recognizer","commit_stats":null,"previous_names":["shoaib-33/fighter-jet-recognizer"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Shoaib-33%2FFighter-Jet-Recognizer","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Shoaib-33%2FFighter-Jet-Recognizer/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Shoaib-33%2FFighter-Jet-Recognizer/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Shoaib-33%2FFighter-Jet-Recognizer/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Shoaib-33","download_url":"https://codeload.github.com/Shoaib-33/Fighter-Jet-Recognizer/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241447644,"owners_count":19964336,"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":["computer-vision","deep-learning","huggingface","machine-learning","webscraping"],"created_at":"2024-11-13T07:24:57.779Z","updated_at":"2026-05-12T17:46:57.420Z","avatar_url":"https://github.com/Shoaib-33.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Fighter-Jet-Image-Recognizer\n\n\n\u003cimg src = \"picture/mig-41.jpg\" width=\"700\" height=\"350\"\u003e\n\n\n# Description\nThe project is all about Military aviation more specifically fighter jet image recoginizer which can identify Military aircraft from the image of the aircraft provided as input.\n\n\n\n\n# Technical Specification:\n1. FastAi for data preprocessing,training etc.\n2. Gradio.\n3. Hugging face space for deployment.\n4. GitHub page for API\n\n\n# Fighter-Jet-Image-Recognizer\nAn image classification model from data collection, cleaning, model training, deployment and API integration. \u003cbr/\u003e\nThe model can classify 26 different types of Fighter Aircrafts \u003cbr/\u003e\nThe types are following: \u003cbr/\u003e\n1. General Dynamics F-16 Fighting Falcon aircraft\n2. Mikoyan MiG-29\n3. Dassault Rafale\n4. Lockheed Martin F-22 Raptor\n5. Mikoyan Mig-31\n6. Sukhoi Su-27\n7. Lockheed Martin F-35 Lightning II\n8. KAI KF-21 Boramae\n9. Sukhoi Su-57\n10. Shenyang FC-31 Gyrfalcon\n11. Boeing F-15EX Eagle II\n12. Eurofighter Typhoon\n13. AIDC F-CK-1 Ching-kuo\n14. Lockheed YF-12\n15. Mikoyan MiG-31\n16. McDonnell Douglas F-4 Phantom II\n17. Grumman F-14 Tomcat\n18. English Electric Lightning\n19. Focke-Wulf Fw 190\n20. Mikoyan-Gurevich MiG-25\n21. Lockheed P-80 Shooting Star\n22. Sukhoi Su-34\n23. Chengdu J-20\n24. Sukhoi Su-35\n25. Chengdu J-10\n26. Mikoyan MiG-35\n\n# Dataset Preparation\n**Data Collection:** Downloaded from DuckDuckGo using term name \u003cbr/\u003e\n**DataLoader:** Used fastai DataBlock API to set up the DataLoader. \u003cbr/\u003e\n**Data Augmentation:** fastai provides default data augmentation which operates in GPU. \u003cbr/\u003e\nDetails can be found in `notebooks/data_prep.ipynb`\n\n# Training and Data Cleaning\n**Training:** Fine-tuned a resnet34 model for 25 epochs (8 times) and got upto ~84% accuracy. \u003cbr/\u003e\n**Data Cleaning:** This part took the highest time. Since I collected data from browser, there were many noises. Also, there were images that contained. I cleaned and updated data using fastai ImageClassifierCleaner. I cleaned the data each time after training or finetuning, except for the last time which was the final iteration of the model. \u003cbr/\u003e\n\n# Model Deployment\nI deployed to model to HuggingFace Spaces Gradio App. The implementation can be found in `deployment` folder or [here](https://huggingface.co/spaces/Shoaib-33/Fighter-jet-Image-Recogniser). \u003cbr/\u003e\n\u003cimg src = \"picture/hugging.png\" width=\"700\" height=\"350\"\u003e\n\n# API integration with GitHub Pages\nThe deployed model API is integrated [here](https://shoaib-33.github.io/Fighter-Jet-Image-Recogniser/) in GitHub Pages Website. Implementation and other details can be found in `docs` folder.\n  \u003ctable\u003e\n  \u003ctr\u003e\n    \u003ctd\u003e\n      \u003cimg src=\"picture/image-1.png\" alt=\"Image 1\"\u003e\n    \u003c/td\u003e\n    \u003ctd\u003e\n      \u003cimg src=\"picture/image-2.png\" alt=\"Image 2\"\u003e\n    \u003c/td\u003e\n  \u003c/tr\u003e\n\u003c/table\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshoaib-33%2Ffighter-jet-recognizer","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fshoaib-33%2Ffighter-jet-recognizer","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshoaib-33%2Ffighter-jet-recognizer/lists"}