IT-Online

Data Scientist (Python, Machine Learning, LLMs) – (In Office) CPT – Western Cape Cape Town

ENVIRONMENT: An Investment company is searching for a talented and driven Data Scientist to join their innovative and growing team based in Durbanville, Cape Town. This is an exciting opportunity to ...
GitHub

Using YOLO and the ZED

This repository contains multiple samples demonstrating how to use YOLO models with the ZED camera, utilizing the highly optimized TensorRT library, as well as a Python sample that uses PyTorch and ...
IEEE

YOLO-SAE: Spatial-Adaptive Attention Enhancement for Small-Object Detection With Quantified Accuracy-Efficiency Trade-Offs

Abstract: Small-object detection in aerial imagery remains challenging because of background clutter, occlusion, and extreme scale variations. This paper presents YOLO–Spatial Attention Enhancement ...
Business Wire

Ultralytics Launches YOLO26, Setting a New Global Standard for Edge-First Vision AI

LONDON--(BUSINESS WIRE)--Ultralytics, the global leader in open-source vision AI, today announced the launch of Ultralytics YOLO26, the most advanced and deployable YOLO (You Only Look Once) model to ...
Business Wire

Ultralytics Closes $30 Million Series A Funding Round to Accelerate Open-Source Vision AI

LONDON--(BUSINESS WIRE)--Ultralytics, a global leader in vision AI at the edge, has completed a $30 million Series A funding round led by Elephant with participation from SquareOne. “Ultralytics’ ...
GitHub

Data Augmentation for Object Detection(YOLO)

This is a python library to augment the training dataset for object detection using YOLO. The images of the objects present in a white/black background are transformed and then placed on various ...
electronicsforu

Real-time Face Recognition with YOLO

This device integrates real-time face detection with a 5-point facial landmarking system to identify known and unknown faces. It serves multiple applications, from a face recognition-based doorbell to ...
Scientific Research Publishing

Research on UAV Target Detection Based on Improved YOLOv11 ()

In response to the challenges of small object detection in UAV aerial photography, such as complex backgrounds, tiny targets, dense targets, and edge deployment, the YOLOv11n model was improved.