{"id":23744770,"url":"https://github.com/iammahesh123/image-object-detection-using-opencv-with-machine-learning","last_synced_at":"2025-08-21T17:21:28.272Z","repository":{"id":207030410,"uuid":"386261025","full_name":"iammahesh123/Image-Object-Detection-using-openCV-with-Machine-Learning","owner":"iammahesh123","description":null,"archived":false,"fork":false,"pushed_at":"2021-11-15T11:29:46.000Z","size":19718,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-12-31T12:40:08.316Z","etag":null,"topics":["cnn","image-processing","python","yolov3"],"latest_commit_sha":null,"homepage":"","language":"Python","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/iammahesh123.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}},"created_at":"2021-07-15T11:11:59.000Z","updated_at":"2024-02-04T11:29:18.000Z","dependencies_parsed_at":"2023-11-13T19:48:46.520Z","dependency_job_id":null,"html_url":"https://github.com/iammahesh123/Image-Object-Detection-using-openCV-with-Machine-Learning","commit_stats":null,"previous_names":["iammahesh123/image-object-detection-using-opencv-with-machine-learning"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/iammahesh123%2FImage-Object-Detection-using-openCV-with-Machine-Learning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/iammahesh123%2FImage-Object-Detection-using-openCV-with-Machine-Learning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/iammahesh123%2FImage-Object-Detection-using-openCV-with-Machine-Learning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/iammahesh123%2FImage-Object-Detection-using-openCV-with-Machine-Learning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/iammahesh123","download_url":"https://codeload.github.com/iammahesh123/Image-Object-Detection-using-openCV-with-Machine-Learning/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":239898463,"owners_count":19715212,"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","image-processing","python","yolov3"],"created_at":"2024-12-31T12:40:26.594Z","updated_at":"2025-02-20T19:15:08.236Z","avatar_url":"https://github.com/iammahesh123.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Object-Detection using Machine Learning\nOpenCV \u003cb\u003ednn\u003c/b\u003e module supports running inference on pre-trained deep learning models from popular frameworks like Caffe, Torch and TensorFlow.\n\nWhen it comes to object detection, popular detection frameworks are\n\n\u003cli\u003eYOLO\u003c/li\u003e\n\u003cli\u003eSSD\u003c/li\u003e\n\u003cli\u003eFaster R-CNN\u003c/li\u003e\nSupport for running YOLO/DarkNet has been added to OpenCV dnn module recently.\n\n\u003ch2\u003eDependencies\u003c/h2\u003e\n\u003cli\u003eopencv\u003c/li\u003e\n\u003cli\u003enumpy\u003c/li\u003e\npip install numpy opencv-python\n\n\u003ch2\u003eYOLO(You Only Look Onces)\u003c/h2\u003e\n\nDownload the pre-trained YOLO v3 weights file from this \u003ca href=\"https://pjreddie.com/media/files/yolov3.weights\"\u003elink\u003c/a\u003e.\n\nYOLO algorithm employs convolutional neural networks (CNN) to detect objects in real-time. ... This means that prediction in the entire image is done in a single algorithm run. The CNN is used to predict various class probabilities and bounding boxes simultaneously. The YOLO algorithm consists of various variants.\n\n\u003ch2\u003eCNN(Convolutional Neural Network)\u003c/h2\u003e\n\n\nA Convolutional Neural Network (ConvNet/CNN) is a Deep Learning algorithm which can take in an input image, assign importance (learnable weights and biases) to various aspects/objects in the image and be able to differentiate one from the other.\n\n\u003ch2\u003eSample Output\u003c/h2\u003e\n\n\u003cimg src=\"https://github.com/iammahesh123/Image-Object-Detection-using-openCV-with-Machine-Learning/blob/main/output2.png\"/\u003e\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fiammahesh123%2Fimage-object-detection-using-opencv-with-machine-learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fiammahesh123%2Fimage-object-detection-using-opencv-with-machine-learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fiammahesh123%2Fimage-object-detection-using-opencv-with-machine-learning/lists"}