To use Faster R-CNN you have to configure the Tensorflow 2 object detection API. You can follow this tutorial which shows how to train, validate and export a custom object detection model. To predict images/videos from a specific folder, you can use the script: detect_objects.py. An example execution for making predictions on images would be:

Jun 15, 2021 · This involves the two-step object detection algorithms that firstly identifies the regions which might potentially contain an object and then to independently classify each bounding box by using CNNs and region of interest (ROI) pooling layer that got added into the in fast RCNNs for the selection of the object location in the image followed by ...

Jul 1, 2021 · Deep learning is one potential solution for object detection and scene perception problems, which can enable algorithm-driven and data-driven cars. In this article, we aim to bridge the gap between deep learning and self-driving cars through a comprehensive survey.

Jun 15, 2023 · To this end, this paper proposes a fast and accurate object detector for autonomous driving based on improved YOLOv5. First, the YOLOv5 algorithm is improved by using structural...

Jan 19, 2022 · This perception system uses object detection algorithms to accurately determine objects such as pedestrians, vehicles, traffic signs, and barriers in the vehicle's vicinity. Deep learning-based object detectors play a vital role in finding and localizing these objects in real-time.

This study presents a deep learning-based model utilizing YOLOv8 for real-time object detection in autonomous vehicles, aimed at accurately identifying and localizing objects such as pedestrians, vehicles, and traffic signs.

Autonomous vehicles (AVs) rely on advanced object detection systems to ensure safe navigation, especially under adverse weather conditions that can impair sensor visibility and introduce detection challenges.

Object detection plays a crucial role in autonomous vehicles, accurately identifying and localizing pedestrians, vehicles, and traffic signs for safe navigation.

Dec 10, 2021 · This paper puts forward a one-stage object detection algorithm based on YOLOv4, which improves the detection accuracy and supports real-time operation. The backbone of the algorithm doubles the stacking times of the last residual block of CSPDarkNet53.

May 29, 2024 · Tracking and object detection are fundamental components of autonomous vehicles, essential for real-time perception and decision-making.