monocular 3D bounding box model combined with YOLOv8 for semantic segmentation results

baseline performance level between the best CNN architecture..

a powerful combination of a Monocular 3D Bounding Box Model and YOLOv8 Semantic Segmentation base models without any Fine-tuning and optimization strategies. This fusion brings depth-aware object detection together with lightning-fast semantic understanding. for incredible advancements in scene comprehension and object localization. #AI #ComputerVision #ObjectDetection #SemanticSegmentation"

Integrated 3D Bounding Box Detection and Depth Estimation for Object Localization

#2D
#3D
#yolov5
#yolov8
#tracking
#efficientnet
#resnet
#mobilenet
#efficientnet
#vgg
#BEV
#tensorflow
#pytorch
#ultralytics
#opencv
#segmentations

simple and easy #YOLOv5 Object Detection with Bird's Eye View and Tracking//