The main goal of this project is to reimplement and train SSD300 model and compare results with results in paper. Implementation is based on PyTorch framework and aims to be clear and easily ...

Object Detection and Explainability with PyTorch Model Using Co-Execution Example 1: Object Detection and Explainability with Imported TensorFlow Model This example shows how to import a TensorFlow ...

The object detection model may search for squares by looking for four ... The YOLOv3 TensorFlow library is a pioneering implementation of the YOLO architecture for object detection processing and ...

Research on multi-object detection is becoming increasingly prominent in the field of object recognition because of breakthroughs in deep learning. Camera and LiDAR are sensor technologies utilized ...