{"id":19209200,"url":"https://github.com/hrolive/computer-vision-nanodegree","last_synced_at":"2026-04-09T23:43:41.072Z","repository":{"id":37066200,"uuid":"226376796","full_name":"HROlive/Computer-Vision-Nanodegree","owner":"HROlive","description":"As one of the 300 scholars chosen among 6,000 from the first phase, \"Secure and Private AI\" by Facebook AI, I have earned a full scholarship to Udacity’s Computer Vision Nanodegree","archived":false,"fork":false,"pushed_at":"2022-12-07T23:54:08.000Z","size":5793,"stargazers_count":2,"open_issues_count":30,"forks_count":0,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-01-04T16:24:05.803Z","etag":null,"topics":["computer-vision","computer-vision-nanodegree","deep-learning","face-detection","image-captioning","machine-learning","object-detection","opencv","python","slam"],"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/HROlive.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}},"created_at":"2019-12-06T17:20:46.000Z","updated_at":"2022-11-16T10:56:33.000Z","dependencies_parsed_at":"2023-01-25T01:01:41.087Z","dependency_job_id":null,"html_url":"https://github.com/HROlive/Computer-Vision-Nanodegree","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HROlive%2FComputer-Vision-Nanodegree","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HROlive%2FComputer-Vision-Nanodegree/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HROlive%2FComputer-Vision-Nanodegree/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HROlive%2FComputer-Vision-Nanodegree/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/HROlive","download_url":"https://codeload.github.com/HROlive/Computer-Vision-Nanodegree/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240281041,"owners_count":19776432,"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","computer-vision-nanodegree","deep-learning","face-detection","image-captioning","machine-learning","object-detection","opencv","python","slam"],"created_at":"2024-11-09T13:29:30.656Z","updated_at":"2025-11-13T23:01:45.326Z","avatar_url":"https://github.com/HROlive.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Computer Vision Nanodegree \n\nThis repository contains the projects that I've developed during Udacity's [Computer Vision Nanodegree](https://www.udacity.com/course/computer-vision-nanodegree--nd891).\n\n## Projects\n\n### [Facial Keypoints Detection](https://github.com/HROlive/Computer-Vision-Nanodegree/tree/master/project_1-facial_keypoint%20_detection)\n\nUsing image processing and deep learning techniques to create a facial keypoint detection system that takes in any image with faces, and predicts the location of 68 distinguishing keypoints on each face, such as the position of the eyes, nose, and mouth.\n\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"images/facial_keypoint_inference.jpg\"\u003e\n\u003c/p\u003e\n\n### [Automatic Image Captioning](https://github.com/HROlive/Computer-Vision-Nanodegree/tree/master/project_2-automatic_image_captioning)\n\nDesigned and trained a CNN-RNN model that automatically generates image captions. The network is trained on the Microsoft Common Objects in COntext (MS COCO) dataset.\n\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"images/caption_inference.jpg\"\u003e\n\u003c/p\u003e\n\n### [Landmark Detection \u0026 Robot Tracking (SLAM)](https://github.com/HROlive/Computer-Vision-Nanodegree/tree/master/project_3-SLAM_landmark_detection_%26_robot_tracking)\n\nImplementation of SLAM (Simultaneous Localization and Mapping) for a 2-dimensional world. Sensor and motion data gathered by a simulated robot is used to create a map of an environment. SLAM gives us a way to track the location of a robot in the world in real-time and identify the locations of landmarks such as buildings, trees, rocks, etc.\n\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"images/slam_result.jpg\" width=75% height=75%\u003e\n\u003c/p\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhrolive%2Fcomputer-vision-nanodegree","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhrolive%2Fcomputer-vision-nanodegree","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhrolive%2Fcomputer-vision-nanodegree/lists"}