How The Pentagon Is Using AI To Reshape Modern Warfare: Project Maven Explained

From scanning drone footage to shaping real-time targeting decisions, the Pentagon’s Project Maven has evolved into a central ...
Frontiers

YOLOv8-FOD: a lightweight foreign object detection algorithm for power transmission lines

Timely and accurate detection of foreign objects is crucial for the safe operation of transmission lines in power grid. Currently, object detection models have more and more parameters and their ...
IEEE

A Verilog based Approach for Object Detection using CNN

Abstract: A Convolutional Neural Network (CNN) are a class of artificial neural networks specifically designed to process data with a grid-like topology, such as images, making them well-suited for ...
GitHub

Annotated object detection dataset with bounding boxes for training YOLO, R-CNN, and other ...

object-detection-dataset/ ├── train/ │ ├── images/ # 800 training images │ │ ├── image_001.jpg │ │ ├── image_002.jpg ...
Scientific Research Publishing

Ren, S., He, K., Girshick, R. and Sun, J. (2016) Faster R-CNN: Towards Real-Time Object ...

ABSTRACT: This paper discusses the task of enhancing malaria detection in thick blood smear images by proposing a UNet-based denoising algorithm. Noise and artifacts in these images can compromise the ...
GitHub

VLM Object Detection and Segmentation Pipeline

This project showcases a sophisticated pipeline for object detection and segmentation using a Vision-Language Model (VLM) and the Segment Anything Model 2 (SAM2). The core idea is to leverage the ...
Scientific Research Publishing

Hem-CNN: An Efficient Intracranial Hemorrhage Detection Model Using Explainable Deep ...

1 Department of Computer Science, American International University-Bangladesh (AIUB), Dhaka, Bangladesh. 2 Department of Electrical and Electronics Engineering, American International ...