The code, training data, testing data, additional results and a video demonstration ... algorithm called Blurry-Edges, which simultaneously performs boundary detection and depth estimation from noisy ...

Specifically, an EfficiBackbone module was designed for the backbone part, the C3K2 was improved using the RipViT block ... This paper, based on the YOLOv11 algorithm, proposes an enhanced UAV image ...

Operating locally for rapid object detection and locating, or through the hyper scalability of the AWS Cloud, SpotlightAI™ can process massive amounts of sub-centimeter-level drone imagery ...

This guide outlines a detailed process for setting up the hardware, configuring the software, and implementing Python-based object detection, counting, and positional tracking. By using pre-built ...

Also, we propose a reward model using a pre-trained model trained with an object detection dataset. The proposed algorithm requires only images and the number of objects on images, not bounding boxes.

Abstract: With the rapid advancements in deep learning technology, various deep learning-based object detection algorithms have found extensive applications in UAV-related tasks. However, motivated by ...

The fundamental concept that the YOLO algorithm proposes is to use an end-to-end neural network using bounding boxes & class probabilities to make predictions in real time. YOLO was different from the ...