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Papers/Detectron2 Object Detection & Manipulating Images using Ca...

Detectron2 Object Detection & Manipulating Images using Cartoonization

Allena Venkata Sai Abhishek, Sonali Kotni

2021-08-01International Journal of Engineering Research & Technology (IJERT) 2021 8Autonomous VehiclesData VisualizationImage AugmentationPanoptic SegmentationImage ClassificationObject RecognitionReal-Time Object DetectionSemantic SegmentationInstance SegmentationImage Manipulationobject-detectionObject DetectionImage Segmentation
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Abstract

In today's world, there is a rapid increase in the autonomous vehicle. There are various levels of autonomous vehicles depending upon the degree of autonomy-for the lower degree of autonomy driver has more power and functionality for managing, on coming to the fully automated vehicle like Tesla are expected to have full control over the functions. These advances cooperate to plan the vehicle's position and its nearness to everything around it. Because of this, there is popularity for these vehicles, since they give a great deal of advantages to individuals utilizing them. We use the Facebook AI Research software system that implements object detection algorithms, Caffe2 deep learning framework for advanced object detection by offering speedy training. We have also manipulated images to derive insights addressing the issues companies face when making the step from research to production. We have implemented detectron2 object detection for faster detection of objects. There is labeling of the object & we used manipulation of images using cartoonization.

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