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Nuvola Ladi
Digital Content Manager · Ultralytics
Nuvola Ladi is a Digital Content Manager at Ultralytics, where she creates content covering vision AI and Ultralytics YOLO and represents the company at industry events such as the PyTorch Conference 2025. Based in Spain, she holds a Master's degree in Visual and Digital Media from IE University. Before joining Ultralytics, she held roles at organizations including XVA Gallery & Hotel and Rolex.
Articles
Ultralytics YOLO
Ultralytics YOLO26 now supports monocular depth estimation
Learn how the new depth estimation task in Ultralytics YOLO26 predicts per-pixel, metric-scale depth from a single RGB image, no stereo rig or LiDAR required.
Integrations
Exporting Ultralytics YOLO on LiteRT
Learn how the new LiteRT export integration brings Ultralytics YOLO inference to mobile, embedded, edge, and browser environments in a single, unified format.
Events
Ultralytics Morocco offsite: Team highlights 2026
A look inside the Ultralytics company offsite in Morocco. Workshops, cultural experiences, and the moments that bring our global team together.
Events
Key highlights from Ultralytics at CVPR 2026
Look back on the key highlights from Ultralytics' time at CVPR 2026 in Denver, where we exhibited, presented research, and connected with the global computer vision community.
Integrations
Ultralytics YOLO partners with DEEPX: Edge AI inference for Physical AI
Learn how the new DEEPX export integration brings Ultralytics YOLO inference to NPU-powered edge AI hardware.
Events
Key highlights from Ultralytics at PyTorch Conference 2025
Join us as we recap Ultralytics' time at PyTorch Conference 2025, where we showcased Ultralytics YOLO models and highlighted our new ExecuTorch integration.
Guides
Human-in-the-loop machine learning (HITL) explained
Explore human-in-the-loop machine learning (HITL). Learn what HITL is, how human intelligence guides AI, improves model accuracy, and drives active learning.
Guides
Enhancing computer vision applications with visualizations
Learn how to turn data from computer vision applications into easy-to-understand graphs using the Ultralytics Python package for better insights.
Vision AI
Applications of computer vision in railway operations
See how computer vision in railway operations is improving safety, maintenance, and efficiency through real-time monitoring and automated inspections.
Guides
What is oriented bounding box (OBB) detection?
Explore how oriented bounding box (OBB) detection enhances object detection by precisely identifying rotated objects in images across real-world applications.
Ultralytics YOLO
How an Ultralytics integration can enhance your workflow
See how a YOLO integration can streamline your computer vision workflows. Explore the types of integrations and benefits for training and deployment of models.
Vision AI
Exploring AR technology advancements and Meta's Orion glasses
Learn about augmented reality and its applications, as well as about Meta's new Orion AR glasses and their potential for immersive experiences.