Detect your signatures using Ultralytics YOLOv8 🚀 With YOLOv8, you can effortlessly detect and locate signatures in images and videos. This technology boosts security, simplifies document verification, and supports automated processes across different industries. It also helps in fraud detection, data integrity, and ensures compliance with ease. 😍 As Jordan Belfort said, "Your signature is your identity; it represents you in a unique way." ⭐ Learn more ➡️ https://ow.ly/k33o50RAK7S #computervision #yolov9 #signatures #ai
Ultralytics
Software Development
Los Angeles, CA 46,427 followers
Simpler. Smarter. Further.
About us
Ultralytics is on a mission to empower people and companies to unleash the positive potential of AI. We make model development accessible, efficient to train, and easy to deploy. It’s been a remarkable journey, but we’re just getting started. Bring your models to life with our vision AI tools: 🔘 Ultralytics HUB - Create and train sophisticated models in seconds with no code for web and mobile 🔘 Ultralytics YOLO - Explore our state-of-the-art AI architecture to train and deploy your highly accurate AI models like a pro
- Website
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http://ultralytics.com
External link for Ultralytics
- Industry
- Software Development
- Company size
- 11-50 employees
- Headquarters
- Los Angeles, CA
- Type
- Privately Held
- Specialties
- AI, Deep Learning, Data Science, YOLOv5, YOLOv8, Artificial Intelligence, Machine Learning, ML, YOLO, and SaaS
Locations
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Primary
Get directions
Los Angeles, CA, US
Employees at Ultralytics
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Glenn Jocher
Founder & CEO at Ultralytics | YOLOv8 🚀
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Lakshantha Dissanayake
Embedded Computer Vision Engineer @Ultralytics | YOLOv8 | NVIDIA Jetson | Raspberry Pi | Edge TPU | ex-Seeed Studio
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Burhan Qaddoumi
Solving difficult technical problems in ML, CV, AM, and mechanical design.
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Fatih C. Akyon
AI @SafeVideo | Advisor @Ultralytics
Updates
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New tutorial | Share models and datasets with Ultralytics HUB! 🌟 This video provides a comprehensive guide on how to share models and datasets using Ultralytics HUB. You'll get an overview of the HUB documentation, learn about the workflow and benefits of managing datasets in HUB, as well as discover detailed visual guides for sharing datasets and models. Key Highlights: ✅ Ultralytics HUB Documentation Overview ✅ Workflow and Advantages of HUB Datasets ✅ Overview of Dataset Sharing in HUB ✅ Overview of Model Sharing in HUB Watch now ➡️ https://ow.ly/FR1a50SiGwE #YouTubeTutorial #UltralyticsHUB #ModelSharing #DatasetManagement #DataScience #MachineLearning
How to Share Models and Datasets in Ultralytics HUB | Complete Guide | Episode 58
https://www.youtube.com/
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🚀 Exciting News for Jetson Nano Users! 🚀 NVIDIA Robotics Jetson Nano running JetPack 4 is now officially supported by Ultralytics! Previously, using Ultralytics on Jetson Nano was challenging due to the default Python 3.6.9 environment in JetPack 4, while Ultralytics required Python >= 3.8. We've tackled this by packaging everything into a docker container for seamless deployment! Simply run the following command on your Jetson Nano with JetPack 4: t=ultralytics/ultralytics:latest-jetson-jetpack4 && sudo docker pull $t && sudo docker run -it --ipc=host --runtime=nvidia $t Learn more ➡️ https://ow.ly/Wnem50ShO3n A special thanks to Seeed Studio for consistently providing us with hardware like the Jetson Nano to ensure smooth integration and support for real-world applications! #ComputerVision #EmbeddedDevices #YOLOv8 #NVIDIA #Docker
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Discover the future of parking management with Ultralytics YOLOv8! 🚗 Our latest blog by Abirami Vina explores how AI and computer vision can transform traditional parking systems, making them smarter and more efficient. Learn how real-time updates and automated systems can reduce stress and improve traffic flow. Dive into the step-by-step coding example to create your own smart parking solution! Learn more ➡️ https://ow.ly/R2Bz50ShHQ8 #SmartParking #AI #YOLOv8 #Innovation
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Suitcase Instance Segmentation: https://lnkd.in/dTAci8HX #instancesegmentation #yolov8 #newfeatures
Computer Vision Engineer @Ultralytics | Solving Real-World Challenges🔎| Python | Published Research | Open Source Contributor | GitHub 🌟 | Daily Computer Vision LinkedIn Content 🚀 | Technical Writer VisionAI @Medium📝
Suitcase instance segmentation + separate masking Ultralytics 🙊 ⚽ 👜 🔗 Code: https://lnkd.in/dEvtNJEz 💡 In the aviation industry, instance segmentation can play an important role in effective luggage handling and could provide analytics of luggage flows alongside enhancing security. Here are my implementation steps: ✅ Initially, object segmentation has been performed with Ultralytics YOLOv8. 🐨 Created separate frames, that override the dimension of the original image. 🔥 Plotted all masks separately for a clear view of space allocation in the conveyor belt. 🛫 The aviation field is just starting to use computer vision technologies. Still, there are many opportunities here and we can expect computer vision use cases to grow in the coming years in this domain. #computervision #aviation #objectsegmentation #objectdetection #yolov8
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New tutorial | Crop and blur objects with Ultralytics YOLOv8! 😍 Discover how to effectively crop and blur objects using Ultralytics YOLOv8 in this comprehensive guide. This video walks you through object cropping and blurring with practical Python code examples and real-time demos. Whether you're new to Ultralytics or looking to refine your skills, this video has everything you need to master object manipulation with YOLOv8. Key highlights: ✅ Crop and blur using YOLOv8 overview ✅ Code walkthrough for crop and blur using YOLOv8 ✅ Inference demos for crop and blur using YOLOv8 Watch now ➡️ https://lnkd.in/dH3mmpBq #YouTubeTutorial #YOLOv8 #ObjectCropping #Blurring #ObjectDetection
How to Crop and Blur objects using Ultralytics YOLOv8 | Ultralytics Solutions | Episode 57
https://www.youtube.com/
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The construction industry is embracing AI for smarter resource allocation, quality and safety control. 🏗️ Vera Ovanin’s latest blog dives into how AI is reducing accidents, enhancing decision-making, and ensuring top-notch quality in construction projects. Learn about the significant market growth and how AI-powered robotics are shaping the future of construction. Learn more ➡️ https://ow.ly/Fr8N50Sfgb4 #AI #Construction #yolov8
AI in Construction: Saving Lives, Cutting Costs and Elevating Quality by Vera Ovanin
ultralytics.com
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Detect and prevent workplace injuries with Ultralytics YOLOv8 🚀 With YOLOv8, fall detection in warehouses has become easy and efficient. This technology can quickly identify when an employee falls due to an injury, such as being struck by falling objects, and can be use to send immediate alerts to ensure timely assistance. It can also be integrated with existing safety protocols to improve overall operational efficiency. Learn more ➡️ https://ow.ly/7UWL50RZYIj #Warehouses #ComputerVision #SafetyFirst #YOLOv10 #FallDetection
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Enhance Vehicle Analytics with Ultralytics YOLOv8 🚀 ✅ Using bar plots, each zone’s vehicle counts can be displayed for better analytics. In our demo, vehicle counting has been performed in each zone to showcase the capabilities of YOLOv8 in real-time traffic monitoring and analysis. ✅ This technology provides detailed insights into traffic patterns, helps in traffic management, and improves road safety. Learn more ➡️ https://ow.ly/GYty50RZYkt #Computervision #VehicleAnalytics #YOLOv10 #ResearchandDevelopment #UseCases
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↖ Arrow annotation coming soon in Ultralytics YOLOv8 at: https://lnkd.in/gXae6URa #computervision #newfeature #yolov8
Computer Vision Engineer @Ultralytics | Solving Real-World Challenges🔎| Python | Published Research | Open Source Contributor | GitHub 🌟 | Daily Computer Vision LinkedIn Content 🚀 | Technical Writer VisionAI @Medium📝
Arrow annotation new feature Ultralytics ↖ ⚽ 🤩 💡Recently, I implemented arrow annotations for bounding boxes, this can be used to indicate the direction of movement or orientation of objects, making it easier to understand dynamic behaviors and interactions within an image. 🐨 Arrows originate from the bounding box centroid and point to corners, highlighting boundaries and focus points. Class-specific arrows distinguish between object classes, enhancing data visualization clarity. 😻 Arrow annotations improve the interpretability of complex scenes, especially with multiple objects and interactions. 🔥🔥🔥 Code coming soon 🔥🔥🔥 🎉 Ultralytics now supports advanced visual elements like arrow annotations for richer object detection and tracking visualizations. For more information, don't forget to explore the initial comments 👇 #computervision #arrowannotation #yolov8 #researchanddevelopment #objectdetection #github #opensource