These Tools Say They Can Spot A.I. Fakes. Do They Really Work?

Artificial intelligence detectors are increasingly used to check the veracity of content online. We ran more than 1,000 tests ...
College of Computing - Georgia Tech

Robot Pollinator Could Produce More, Better Crops for Indoor Farms

A new robot could solve one of the biggest challenges facing indoor farmers: manual pollination. Indoor farms, also known as ...
Bangalore Mirror

AI-powered solution targets city’s growing pothole crisis

To showcase its effectiveness, the team has shared demonstration videos on platforms such as X and LinkedIn, collaborating with Caleb Friesen to display the model’s real-world performance ...
The Debrief

Scientists Report “High-Confidence Detections of Artificial Objects” on the Moon—Could They Solve a Cold War-era Mystery?

Researchers report the detection of "artificial objects" on the Moon that could help locate a long-lost Soviet spacecraft.
GitHub

Ultra-lightweight human detection. The number of parameters does not correlate to inference speed. For limited use cases, an input image resolution of 64x64 is sufficient. High ...

Please note that the dataset used to train this model is a custom-created, ultra-high-quality dataset derived from MS-COCO. Therefore, a simple comparison with the Val mAP values of other object ...
IEEE

ESGN-YOLO: Enhancing Multi-Scale Small Object Detection via Efficient Feature Fusion and Adaptive Spatial Modeling

Abstract: Object detection is crucial in remote sensing, surveillance, and autonomous driving. Detecting small objects remains challenging due to limited pixels, redundant backgrounds, and noise from ...
IEEE

BBD-YOLO: An Improved Object Detection Algorithm for UAV Images Based on Dynamic Sparse Attention and Multi-Scale Feature Fusion

Abstract: Object detection technology for UAV images holds significant importance in various fields. However, many existing object detection algorithms suffer from limited detection accuracy, along ...
Scientific Research Publishing

Traffic Object Detection Using YOLOv12 ()

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...
Scientific Research Publishing

YOLO-AgriNet: A Deep Learning-Based Model for Real-Time Plant Disease Detection in Precision Agriculture ()

1 Ambam Computer Science and Application Laboratory & Department of Computer Engineering, Higher Institute of Transport, Logistics and Commerce, University of Ebolowa, Ebolowa, Cameroon. 2 Institut ...