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Object Detection With High Vision

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dc.contributor.author Yesmin, Fahima
dc.contributor.author Alamgir, Md. Suweb
dc.date.accessioned 2022-02-13T03:53:56Z
dc.date.available 2022-02-13T03:53:56Z
dc.date.issued 2021-01-28
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/7109
dc.description.abstract Machine learning using High Vision with detection is the branch of the science of computers and software systems which can recognize and get to know the images and scenes very well. Computer Vision is consisting of various things like as image recognition, image generation, object detection, image super-resolution and much more. Object detection is being widely used for detecting face, vehicle detection, pedestrian counting, web images, security systems and selfdriving cars. In this project, we are working with Python Programming Language and it uses Machine Learning Libraries like TensorFlow, Keras, OpenCV and Numpy on backend. It implements the State-Of-The-Art Algorithms like YOLOv4, TinyYOLOv4, CDCL, MaskRCNN, and DeepLabv3+ to recognize objects. This project can detect the various objects in the input video and in the real time as well and can also provide an output video having the objects highlighted. en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.subject Machine learning en_US
dc.subject Software systems en_US
dc.subject Image processing en_US
dc.title Object Detection With High Vision en_US
dc.type Article en_US


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