Pothole detection with Ultralytics YOLOv8 means efficient road maintenance. Real-time object detection allows for quick, precise identification, leading to immediate repairs and enhanced road safety.
🔗Learn more ➡️
#AI
#YOLOv8
Optimize production lines with Ultralytics YOLOv8! Accurate real-time counting for streamlined processes and improved inventory management. A radical leap in automation. 🔄🚀
Swift setup: `pip install ultralytics` and follow
#computervision
Distance calculation with VisionEye using Ultralytics YOLOv8 🚀
Ultralytics VisionEye automates object focus, mimicking human-eye precision to calculate camera position for measuring distances.
Learn more ��️
#computervision
Signature detection using Ultralytics YOLOv8 🚀
This technology boosts security, simplifies document verification, and supports automated processes across different industries ⭐
Learn more ➡️
#AI
#yolov8
🚀 Monitor your workouts with YOLOv8!
Effortlessly track and analyze your squats. YOLOv8 enhances exercise assessment by accurately tracking body landmarks and joints in real-time, routines, and measuring performance metrics. 💪
Learn more ➡️
#AI
Parking management just got smarter with Ultralytics YOLOv8 🅿️
This system provides real-time insights into parking availability, ensuring efficient slot allocation and smoother traffic flow alongside seamless experiences!
🔗 Learn more ➡️
#AI
Steam detection within the oil and gas industry using Ultralytics YOLOv8 🚀
It can identify emissions, helping with compliance and pollution reduction. It can also optimize steam output for efficiency and cost savings.
Learn more ➡️
#AI
Fruits semantic segmentation using Ultralytics YOLOv8 🍎🍉
Unlike traditional methods, YOLOv8 labels and precisely outlines each fruit, rendering it valuable for quality assessment and automated harvesting.
Allowing precise identification and segmentation for accurate fruit
People Segmentation Using Ultralytics YOLOv8 🚀
For a more in-depth understanding of object segmentation using YOLOv8, check out our documentation at:
#ComputerVision
#YOLOv8
Counting luggage during airplane loading with Ultralytics YOLOv8 ensures efficient and accurate handling. 🚀
Key benefits
✅ Swift processing reduces errors
✅ Optimizes operations
✅ Enhances passenger satisfaction.
Learn more ➡️
#AI
#Aviation
Cows' behaviour & position monitoring using Ultralytics YOLOv8 🐮
YOLOv8 allows real-time monitoring of cows' behavior improving herd management, animal well-being, and productivity in agriculture through computer vision.
Explore more ➡️
#yolov8
Track shelves with Ultralytics Botsort and FastSAM! 🚀
FastSAM uses CNN and
@OpenAI
models for real-time shelf tracking. Object tracking further provides precise and stable detections for better analytics.
Learn more ➡️
#AI
#computervision
Maximize aircraft safety with Ultralytics YOLOv8 💙
Ensure precise distance calculation for safer landings. Discover how computer vision can help aviation safety.
Learn more ➡️
#Aviation
#Safety
#Ultralytics
Ultralytics YOLOv8 turns 1 today and we are releasing a new YOLOv8.1!
Our 2023 in review:
🌐 19 million YOLOv8 models trained in 2023!
📥 Over 20 million downloads, counting 4 million in December alone.
🔥 Over 1,000 inference jobs per second every day.
🌍 We saw a real-world
🔥 NEW FEATURE: Object Counting Across Multiple Regions with Ultralytics YOLOv8
Accurate and adaptable
#objectcounting
is essential. This method tallies objects within defined regions, enabling advanced analysis with a multi-region focus.
Interactive region adjustments are as
Analyze customer behavior with Ultralytics Heatmaps! 🚀
Effortlessly track customer behavior in retail malls. Gain insights into foot traffic and shopping patterns to optimize staff allocation, and improve product placement.
Learn more ➡️
#AI
YOLOv8 for queue management streamlines crowd control to cut wait times and enhance efficiency in places like retail stores. It optimizes queues in diverse environments, from retail to healthcare. Try it using the code snippet below.
Learn more ➡️
#AI
Information signs detection using Ultralytics YOLOv8 ⚡
It entails the identification and interpretation of signs and symbols in images or videos, making it essential for tasks like autonomous driving and navigation systems.
Learn more ➡️
#AI
LVIS Dataset:
@facebook
fine-grained annotation dataset for object detection and instance segmentation.
Key Features:
✅ 160k images, 2M annotations
✅ 1203 categories: from common to specific items
Learn more ➡️
#AI
Products Counting at Shelf using Ultralytics YOLOv8 🍵🥛😊
Enhance inventory management efficiency using Ultralytics YOLOv8 to accurately count products on shelves.🚀
For more information, check our docs:
#computervision
#retailanalytics
#yolov8
Animals Position Tracking using Ultralytics YOLOv8 😍
Use advanced computer vision for real-time, accurate tracking in diverse environments with YOLOv8. Benefit from high precision and adaptability to various applications overall enhancing your animal monitoring capabilities!
Pea tins Production Counter using Ultralytics YOLOv8🚀
Revolutionize pea tin production counting with computer vision. Ensure precise inventory management, quality control, and automation, saving time and resources. Real-time insights enhance quality assurance for consistent
Garbage can detection improves waste management, optimizing collection routes and fostering cleaner public spaces. It's a crucial step towards sustainable urban living. ♻️
Learn more ➡️
#AI
#Sustainability
#yolov8
Objects detection in Supermarkets using Ultralytics YOLOv8 🤹♂️
Highlights:
✅ Efficient Inventory Management: Accurately identifies and counts products in real time.
✅ Enhanced Customer Experience: Ensures well-stocked shelves, ensuring readily available items and reduced
Streamline dataset annotation with Ultralytics YOLO and SAM!💡
Using auto annotation, you can use your trained YOLO model and SAM to auto-annotate additional data with the segmentation format, saving time and resources. 🛠️
Learn more ➡️
#AI
Vehicle Spare Parts Detection Using Ultralytics YOLOv8
By accurately detecting vehicle spare parts it makes inventory management a breeze. Say goodbye to manual hassles and experience unprecedented efficiency! 💪
#computervision
#yolov8
Enhance vehicle analytics with Ultralytics YOLOv8! 🚀
Monitor and analyze vehicle movement in various zones. Gain insights into traffic patterns, and boost road safety. Check out our demo using bar plots for zone vehicle counts.
Learn more ➡️
#AI
Train YOLO-World model on custom data with Ultralytics YOLOv8!
Real-time detection IDs and objects from text with low compute and high performance. Versatile for vision tasks. Simply fine-tune with the code snippet below. 💡
Learn more ➡️
#AI
Distance calculation using Ultralytics YOLOv8 🚀
Measuring the gap between two objects brcomes easy with YOLOv8! You can calculate distances between user-highlighted objects with bounding box centroids data.
Learn more ➡️
#AI
#ComputerVision
Detect aerial objects using VisDrone dataset with Ultralytics YOLOv8 🔥
This is a benchmark dataset for drone-based image analysis. 288 videos, 10,209 images, 2.6M annotated bounding boxes and diverse scenes for computer vision tasks.
Learn more ➡️
#AI
Enhance highway traffic management with Ultralytics YOLOv8, monitoring lane occupancy in real-time for precise and efficient traffic flow improvement. 🚘🚀
for more information, check our docs:
#computervision
#highwaysafety
#yolov8
#objectdetection
Going into 2022, we want to thank the 201
#contributors
on our repo! Their work has helped make
#YOLOv5
what it is today 🚀
We are open to gaining more contributors on our open source projects 💡 Happy contributing!
Boost efficiency with multithreaded object tracking for handling multiple video streams simultaneously. Leverage the Python threading module with Ultralytics YOLOv8 for optimized performance🚀
Learn more:
#AI
#yolov8
Object Mapping VisionEye using Ultralytics YOLOv8 👀
YOLOv8 VisionEye lets computers recognize and locate objects with human-like precision, mimicking the observational accuracy of the human eye. 🚀
➡️Learn more
#YOLOv8
#ComputerVision
#VisionEye
👥🔢 Counting People with Ultralytics YOLOv8!
Exciting news! Ultralytics is expanding its horizons allowing you to accurately count objects you've trained the model on, with solutions for retail, transportation, aquaculture, and more.
#ArtificialIntelligence
#YOLOv8
Introducing Keypoint Detection - the latest addition to YOLOv8! 🔥
Detect people and their key points for posture detection, object pose estimation, face recognition, and emotion recognition.
Learn more at
It's our birthday! 🎉
Over the past 9 years, it's been our goal to push the boundaries of AI and make it accessible to all.
To celebrate our birthday, we asked our team to tell us what they love most about
#Ultralytics
. Cheers to making AI easy! 🥂
Vehicle brands detection using Ultralytics YOLOv8 🚀🚗
Object detection, like YOLOv8, identifies car logos for efficient traffic monitoring and improved automotive analytics.
Learn more ➡️
#computervision
#vehiclebranding
#yolov8
Patty burger counting on 3d Belt using Ultralytics YOLOv8 🚀
Using YOLO algorithms allows object counting in computer vision for images or video frames. 🍔🔍 Ensuring:
✅ Precision: YOLOv8 ensures accurate counting on 3D conveyor belts, reducing errors.
✅ Efficiency: Real-time
Train the YOLOv9 model on custom data with Ultralytics 😃
YOLOv9 brings major leaps in real-time object detection with PGI and GELAN innovations. It excels in efficiency, accuracy, and adaptability, setting new MS COCO benchmarks.
🔗 Learn more ➡️
#AI
Ultralytics YOLOv8 now supports object tracking through the repo 🔥
Object tracking involves identifying the location and class of objects, assigning a unique ID to detections in video streams.
🌟 Happy Labour Day! 🌟
Today, we celebrate workers across industries. At Ultralytics, we're enhancing safety with YOLOv8, detecting PPE like hard hats and vests in real-time. Let's celebrate by ensuring safer workplaces!
Learn more ➡️
#AI
Crack Segmentation using Ultralytics YOLOv8
@roboflow
crack segmentation dataset, with 4029 diverse static images, is a valuable resource for transportation studies, and general computer vision applications.
Learn More ➡️
#computervision
#yolov8
Train YOLOv9 on custom datasets with Ultralytics 🚀 In this video, we'll learn how to fine-tune a YOLOv9 model using the
@roboflow
industrial package segmentation dataset.
What's covered:
✅ Training walkthrough
Watch now ➡️
#AI
XRays Detection using Ultralytics YOLOv8
YOLOv8 revolutionizes X-ray diagnostics, offering real-time identification of fractures, tumors, and anomalies. Automation streamlines workflow, improving patient care in medical imaging.
Learn more ➡️
#medicalai
Efficient fetus anatomy detection in ultrasound with Ultralytics YOLOv8!
Identify fetal anatomy with YOLOv8. It automates movement checks, aiding decision-making in prenatal care, offering insights into fetal health.
Learn more ➡️
#MedicalAI
#yolov8
Object Detection with Ultralytics YOLOv8-OBB 🚀
Enhanced accuracy with rotating boxes, class labels, and confidence scores. Ideal for object orientation, offering detailed representation compared to standard detection.
Learn more ➡️
#yolov8obb
#ai
#ObjectDetection
Using RT-DETR 💻
RT-DETR provides real-time performance while maintaining high accuracy. By leveraging the power of
#VisionTransformers
(ViT), RT-DETR efficiently processes multiscale features by decoupling intra-scale interaction and cross-scale fusion.
Check
Master SAHI (Sliced Inference) with Ultralytics YOLOv8!
This guide dives into SAHI's importance, for large-scale applications, and seamless integration of these features with YOLOv8 for superior object detection. 🚀
For more information, check our Docs:
Fish detection using Ultralytics YOLOv8 🐟
Fish detection is essential for marine research and fisheries, employing real-time deep learning for sustainable practices and biodiversity studies.
Explore more ➡️
#computervision
#aquaculture
Raspberry Pi CIs Support Added with the release of YOLOv8.2 🎉
We've deployed Raspberry Pi 5 8GB CI's for daily benchmarks and test metrics, ensuring top performance with YOLOv8 models on low-power edge devices. 💡
Learn more ➡️
#AI
#RaspberryPI
Use Ultralytics YOLOv8 to crop identified objects 🔥
Now, you can crop specific objects from both pictures and videos. All it takes is a reliable detection model that can seamlessly identify objects.
Learn more ➡️
#AI
#Research
#yolov8
🚀🍏🍊 Fruits Detection with Ultralytics YOLOv8!
Ultralytics YOLOv8 empowers meticulous fruit detection. With applications ranging from agriculture to supermarkets, its potential is limitless. Notable use cases for YOLOv8 fruit detection encompass:
#computervision
#yolov8
Q: Why use SAHI with YOLOv8?
A: SAHI can handle large-scale images by slicing them into smaller, more manageable sizes without compromising the detection quality.
This makes it a great companion to YOLOv8, especially when working with high-resolution videos.
For an
Dive into our latest Medium article to unlock the full potential of
#SAHI
integrated with Ultralytics
#YOLOv8
📚A step-by-step guide to installing required libraries
🕵🏻♀️How-to's for running inference with just YOLOv8
🔍Techniques for harnessing SAHI for amplified detection
📣 Attention, please! 📣 YOLOv5 v6.2 is here!
With this release, we introduce super simple
#YOLOv5
classification workflows just like our existing object detection models.
Check out the important updates & newest integrations here:
🚗 Vehicles Tracking with Ultralytics YOLOv8 and ByteTrack! 📍
Explore the capabilities of Vehicle Tracking with YOLOv8, a state-of-the-art approach that not only identifies vehicles within frames but also provides accurate position-tracking
#ArtificialIntelligence
#YOLOv8
A month ago, we launched
#YOLOv8
, the newest version of real-time object detection architecture with improved features making it more powerful & versatile!
We've seen interesting use cases & today we're listing our faves!
📣
#YOLOv5
v7.0 is here!
Our new YOLOv5 v7.0
#instancesegmentation
models are the fastest and most accurate in the world, beating all current SOTA benchmarks.
We've made them super simple to train, validate and deploy!
Read our blog to learn more 🚀
Drumroll please..........🥁
We've reached 20k stars on our
#YOLOv5
repo! 🎉
In the past year it's been our pleasure to create and release the world's most loved vision AI. Cheers to what we accomplish in
#2022
🥳
YOLOv8 is designed to be the ultimate tool for object detection, image segmentation, & image classification tasks. Simple usage, spotless code & flexible solutions.
Learn more in our video series. Subscribe to our YouTube channel for updates!
Adım adım derin öğrenme listesine bir yenisi daha eklendi🔔PyTorch ile YOLOv8 algoritmasını öğrenerek özel veri kümenizde Python dili ile nesne tespiti, segmentasyonu ve lokalizasyonu yapabiliyor olacaksınız! İyi seyirler 🎉
#YouTube
#PyTorch
#YOLO
🚀Update: Ultralytics package now supports 4 model architectures, including SAM.
The inference interface is completely model agnostic. With SAM, auto-annotate segmentation datasets with just 1 line of code.
Check out our models page for more info:
Getting Hands-On with YOLO-World using the Ultralytics Package 💙
Goodbye to your data annotation worries! Introducing YOLO-World: Tencent's zero-shot object detection marvel. Dive into our blog with
@abiramivina
for its AI revolution.
#AI
Learn more ➡️
Extract bounding box information using Ultralytics YOLOv8
Retrieve bounding box dimensions effortlessly for advanced analytics and algorithm efficiency by using the code snippet below.
Learn more ➡️
#computervision
#ultralytics
#yolov8
#bboxdimensions
Export Ultralytics YOLOv8 model to NCNN format 🔥 Optimize Ultralytics YOLOv8 models for mobile and embedded devices using NCNN format. Follow our guide for enhanced performance.
Learn more ➡️
#computervision
#ncnn
#objectdetection
#yolov8
Our friend Henry published an insightful article on "Deploying YOLOv8 with FlaskAPI for free!"
Learn about computer vision and deployment techniques. Flexible and user-friendly object detection using Flask API.
Check it out now! ⬇️
Deploying computer vision models on mobile or embedded systems is tricky due to limited computational power. With Ultralytics YOLOv8, export to TFLite Edge TPU for optimized high-speed, low-power performance.
#AI
#EdgeTPU
Learn more ➡️
Solar panel detection with Ultralytics YOLOv8 🚀
Easily identify and locate solar panels in images and videos. This helps carry out inspection, real-time monitoring, and effective asset management.
Learn more ➡️
#AI
#Manufacturing
#yolov8
Deploying ML models in the browser or Node.js requires optimization for fast, local performance. Convert Ultralytics YOLOv8 models with 'export to TF.js' for efficient object detection for browsers and Node.js apps. ⚡️
🔗 Learn more ➡️
#AI
#TensorFlow
Regarding image augmentation 👉
#YOLOv5
🚀 is now fully integrated with
#Albumentations
, a popular open-source image augmentation package. 👏
You can train the world’s best Vision AI models even better! 😊
Click here to see full details 🔥
Transform parking management with Ultralytics YOLOv8 monitoring vehicle occupancy in real-time. 🚘 An advanced solution to enhance efficiency, security and urban mobility.
For more information, check our docs:
#computervision
#vehicletracking
#yolov8
Count objects classwise with Ultralytics YOLOv8 🔥
Learn how to count specific classes in real-time or prerecorded videos for advanced analytics and targeted results.
Watch now ➡️
#ComputerVision
#AI
Workouts Monitoring using Ultralytics YOLOv8 🏋
Enhance Workout Monitoring with YOLOv5 and YOLOv8! 💪🚀 Achieve precise real-time tracking of exercises, repetitions, and form. Benefits include:
✅ Accurate push-up counting with pose estimation for proper form
✅ Recognition
Want to train
#YOLOv8
on your own data?
Check out this guide by Muhammad Rizwan Munawar. Learn how to install modules, pre-trained object detection, train YOLOv8 on custom data, and more! ➡️
Optimize number plate detection using Ultralytics YOLOv8! This real-time solution enhances security streamlining traffic management for efficient monitoring. 🚗 🚀
Swift setup: `pip install ultralytics` and follow
#computervision
#objectdetection
#anpr
The YOLO Inference API lets you use YOLOv8's object detection through a RESTful API, allowing you to perform object detection on images without installing YOLOv8 locally. ⚡
🔗Learn more ➡️
#AI
#API
#YOLOv8
Object tracking using FastSAM with Ultralytics 😍
This tutorial will teach you about the FastSAM architecture, and its key features. It covers object segmentation and tracking with FastSAM, and includes a detailed demo with Python code.
Watch now ➡️
#AI
What is R-CNN? 📸
From the early days to the latest models, learn the history and mechanics of this object detection model and understand its impact on computer vision advancements with
@Abiramivina
Read more ➡️
#AI
#ComputerVision
#RCNN
Blur detected objects with Ultralytics YOLOv8 🚀 for enhanced privacy and focus in images/videos. It's real-time processing is ideal for dynamic environments. Get started with the code below!
Learn more ➡️
#AI
#Privacy
#yolov8
Ensuring thread-safe inference with Ultralytics YOLOv8 requires careful attention when running YOLO models in a multi-threaded environment. Use the code snippet below to create thread-safe YOLO model inference. 😍
Learn more ➡️
#AI
#Threading
#yolov8
Storage Tanks Detection using Ultralytics YOLOv8 Oriented Bounding Boxes 🚀
Tank detection enhances industrial safety, compliance, early leak detection, efficient asset management, security, and surveillance, among other things.
Learn more ➡️
#yolov8