IEEE

ISDC-YOLO: A Lightweight Small Object Detection Algorithm Based on Inverted Bottleneck and Semantic Detail Fusion Network for UAV Aerial Image

Abstract: Autonomous aerial vehicle (AAV) object detection in aerial images presents substantial value but also considerable challenges. UAV images often exhibit characteristics such as a high ...
IEEE

Tutorial: Small Object Detection in UAV Imagery: Challenges and Solutions

Abstract: Unmanned Aerial Vehicles (UAVs) are becoming essential visual monitoring technologies in various fields including urban planning, environmental monitoring, traffic surveillance, and disaster ...
GitHub

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

object-detection-dataset/ ├── train/ │ ├── images/ # 800 training images │ │ ├── image_001.jpg │ │ ├── image_002.jpg ...
Bleeping Computer

ClickFix malware attacks evolve with multi-OS support, video tutorials

ClickFix attacks have evolved to feature videos that guide victims through the self-infection process, a timer to pressure targets into taking risky actions, and automatic detection of the operating ...
Scientific Research Publishing

Kundu, R. (2023). YOLO Algorithm for Object Detection Explained [+Examples].

ABSTRACT: The study adapts several machine-learning and deep-learning architectures to recognize 63 traditional instruments in weakly labelled, polyphonic audio synthesized from the proprietary Sound ...
GitHub

YOLO Object Detection and Classification Explanation

YOLO identifies WHERE objects are in the image by drawing bounding boxes around them with coordinates (x, y, width, height). Multi-class Classification: Each bounding box gets a class label from ...