{"id":50864313,"url":"https://github.com/gsaini/computer-vision-case-studies","last_synced_at":"2026-06-14T23:34:37.690Z","repository":{"id":318807367,"uuid":"1073405587","full_name":"gsaini/computer-vision-case-studies","owner":"gsaini","description":"This repository is a personal collection of computer vision case studies, study materials, notebooks, datasets, and small projects.","archived":false,"fork":false,"pushed_at":"2025-11-10T01:19:35.000Z","size":76328,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2026-06-14T23:34:31.339Z","etag":null,"topics":["artificial-intelligence","case-study","computer-vision","machine-learning","python"],"latest_commit_sha":null,"homepage":"https://app.devin.ai/wiki/gsaini/computer-vision-case-studies","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/gsaini.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,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-10-10T04:21:33.000Z","updated_at":"2025-11-10T02:01:46.000Z","dependencies_parsed_at":"2025-10-16T04:26:40.928Z","dependency_job_id":"000d013b-4c54-4cce-8540-d2a2d9c95236","html_url":"https://github.com/gsaini/computer-vision-case-studies","commit_stats":null,"previous_names":["gsaini/computer-vision-case-studies"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/gsaini/computer-vision-case-studies","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gsaini%2Fcomputer-vision-case-studies","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gsaini%2Fcomputer-vision-case-studies/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gsaini%2Fcomputer-vision-case-studies/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gsaini%2Fcomputer-vision-case-studies/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/gsaini","download_url":"https://codeload.github.com/gsaini/computer-vision-case-studies/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gsaini%2Fcomputer-vision-case-studies/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34342089,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-14T02:00:07.365Z","response_time":62,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","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":["artificial-intelligence","case-study","computer-vision","machine-learning","python"],"created_at":"2026-06-14T23:34:36.953Z","updated_at":"2026-06-14T23:34:37.678Z","avatar_url":"https://github.com/gsaini.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Computer Vision Case Studies\n\n![Python](https://img.shields.io/badge/python-3670A0?style=for-the-badge\u0026logo=python\u0026logoColor=ffdd54)\n![Jupyter](https://img.shields.io/badge/Jupyter-F37626.svg?\u0026style=for-the-badge\u0026logo=Jupyter\u0026logoColor=white)\n![Pandas](https://img.shields.io/badge/Pandas-2C2D72?style=for-the-badge\u0026logo=pandas\u0026logoColor=white)\n![Numpy](https://img.shields.io/badge/Numpy-777BB4?style=for-the-badge\u0026logo=numpy\u0026logoColor=white)\n![TensorFlow](https://img.shields.io/badge/TensorFlow-FF6F00?style=for-the-badge\u0026logo=TensorFlow\u0026logoColor=white)\n![WeightsAndBiases](https://img.shields.io/badge/Weights_\u0026_Biases-FFBE00?style=for-the-badge\u0026logo=WeightsAndBiases\u0026logoColor=white)\n\nWelcome to the Computer Vision Case Studies repository! This collection is curated to help learners and practitioners explore real-world computer vision problems, solutions, and techniques. Here you'll find study materials, annotated notebooks, datasets, and small projects to deepen your understanding of computer vision concepts and applications.\n\n## Contents\n\n- **Case Studies:** Step-by-step walkthroughs of computer vision projects, including problem statements, approaches, code, and results.\n- **Notebooks:** Jupyter notebooks demonstrating image processing, feature extraction, object detection, and more.\n- **Datasets:** Sample datasets for experimentation and practice.\n- **Reference Material:** Essential resources for building foundational knowledge.\n\n## Reference Material\n\n- [Hands-On Image Processing with Python](https://github.com/PacktPublishing/Hands-On-Image-Processing-with-Python)  \n    A practical guide covering image processing techniques in Python, including filtering, transformations, and feature extraction.\n\n- [Fundamentals of Image Processing (PDF)](./reference-material/fundamentals_of_image_processing.pdf)  \n    A comprehensive document explaining core concepts, mathematical foundations, preprocessing methods, filtering, and feature extraction.\n\n- [CNN Features off-the-shelf: an Astounding Baseline for Recognition](https://arxiv.org/pdf/1403.6382.pdf)\n\n- [Explanatory Graphs for CNNs: which reveals the knowledge hierarchy hidden inside conv-layers of a pre-trained CNN](https://arxiv.org/pdf/1812.07997.pdf)\n\n- [TensorFlow tutorials for image classification [Classification of images into their respective categories using Tensorflow]](https://www.tensorflow.org/tutorials/images/classification)\n\n- [Transfer Learning using Tensorflow [Implementation of Transfer Learning using different pre-trained architectures in CNN]](https://www.tensorflow.org/tutorials/images/transfer_learning)\n\n- [Data Augmentation using Tensorflow](https://www.tensorflow.org/tutorials/images/data_augmentation)\n\n- [Leonardo Araujo Santos's gitbook explaining the CNNs [Indepth Mathematical Explanation about CNNs and different layers in CNNs]](https://leonardoaraujosantos.gitbook.io/artificial-inteligence/machine_learning/deep_learning)\n\n## Getting Started\n\n1. **Clone the repository:**\n\n     ```bash\n     git clone https://github.com/\u003cyour-username\u003e/computer-vision-case-studies.git\n     ```\n\n2. **Explore the notebooks:**  \n     Open the `case-studies/` directory and start with the introductory examples.\n\n## Contributing\n\nContributions are welcome! Please submit pull requests for new case studies, improved notebooks, or additional reference materials.\n\n## 🧠 License \u0026 Attribution\n\nSome educational materials and slides in this repository are sourced from **[DeepLearning.AI](https://www.deeplearning.ai/)**  \nand are shared under the terms of the  \n**[Creative Commons Attribution-ShareAlike 2.0 License (CC BY-SA 2.0)](https://creativecommons.org/licenses/by-sa/2.0/legalcode)**.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgsaini%2Fcomputer-vision-case-studies","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgsaini%2Fcomputer-vision-case-studies","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgsaini%2Fcomputer-vision-case-studies/lists"}