Papers › Detectron2 Object Detection & Manipulating Images using Cartoonization

Detectron2 Object Detection & Manipulating Images using Cartoonization

1 Aug 2021International Journal of Engineering Research & Technology (IJERT) 2021 8archive 2025-07-28

Allena Venkata Sai Abhishek, Sonali Kotni

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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Tasks

Autonomous VehiclesData VisualizationImage AugmentationImage ClassificationImage ManipulationImage SegmentationInstance SegmentationObjectObject DetectionObject RecognitionPanoptic SegmentationReal-Time Object DetectionSemantic Segmentationobject-detection

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1x1 ConvolutionAverage PoolingBatch NormalizationBilateral GridBottleneck Residual BlockConvolutionDCNNDense ConnectionsFeedforward NetworkGlobal Average PoolingImage Scale AugmentationKaiming InitializationMask R-CNNMax PoolingRPNReLUResidual BlockResidual ConnectionRoIAlignSoftmax

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