Ultralytics Blog
Explore the world of AI with Ultralytics' blogs!
Dive into the latest trends in AI and computer vision with Ultralytics. From YOLO advancements to groundbreaking applications, explore how we're shaping the future of technology.
Latest articles by topic
Featured article
Best synthetic data tools for computer vision training
Synthetic data tools for computer vision compared by method: 3D simulation, generative models and augmentation, and how to test them with Ultralytics YOLO.
Events
Ultralytics at AMD Embedded AI Working Group in Dublin
Discover how Ultralytics and AMD explored Physical AI, robotics, and computer vision deployment at AMD Embedded AI Working Group 2026 in Dublin.
Integrations
ONNX vs TensorRT for computer vision inference: benchmarks and how to choose
ONNX Runtime vs TensorRT for computer vision inference: measured Ultralytics YOLO26 speed and accuracy on 19 NVIDIA GPUs, and how to choose.
Ultralytics Platform
How to choose a VLM for auto-annotation using precision and recall
Pick a VLM for auto-annotation by precision and recall: which models leave fewer stray boxes, which miss fewer objects, and how to test on your own data.
Guides
Missing PPE detection: train Ultralytics YOLO on Construction-PPE
See how Construction-PPE labels missing helmets, vests and gloves, then train Ultralytics YOLO to detect missing PPE on your own site cameras.
Guides
Drone detection dataset guide: train Ultralytics YOLO on tiny UAVs
Compare DUT Anti-UAV, Drone-vs-Bird and thermal drone detection datasets, then train Ultralytics YOLO26 to find tiny drones and cut false alarms.
Ultralytics Platform
HIPAA compliant AI for medical imaging: what a BAA covers and how to train on patient data
Learn what HIPAA compliant AI requires for medical imaging, what an Ultralytics BAA covers, and how to annotate, train and deploy with patient data.
Ultralytics Platform
How to migrate Ultralytics YOLO models from W&B to Ultralytics Platform
Import Ultralytics YOLO models from Weights & Biases (W&B) into Ultralytics Platform without retraining, then compare experiments, export, and deploy.
Ultralytics Platform
GPT-6.1 Terra takes #1 for auto-annotation, beating OpenAI's own flagships
GPT-6.1 Terra auto-annotation tops 39 models on our VLM Leaderboard: 0.560 mAP50 for $4.36 per 1,000 images, ahead of GPT-6.1 Sol and Gemini 4 Argon.
Ultralytics Platform
MiniMax-M3.1-Flash auto-annotation: why less reasoning drew better boxes
MiniMax-M3.1-Flash auto-annotation in Ultralytics Platform: 0.317 mAP50 at $1.84 per 1,000 images after tuning, with 0.86 on SAR ship detection.
Ultralytics Platform
Kimi K3.1 Pro auto-annotation: a third better than K3, at high effort
Kimi K3.1 Pro auto-annotation scores 0.444 mAP50 on UL37, a third above Kimi K3. See why we run it at high effort, what it costs, and where it wins.
Integrations
Ultralytics YOLO and NVIDIA Cosmos Data Factory: Synthetic data for defect detection
NVIDIA Cosmos Data Factory synthetic data and an agentic training loop help Ultralytics YOLO26 match full-dataset defect detection accuracy with fewer labels.
Guides
Best Depth Estimation Models: How to Choose
Compare monocular depth models such as Depth Anything, Depth Pro, Metric3D, UniDepth and Ultralytics YOLO26 for metric depth, edge devices and robotics.
See our models in action
RTM cuts inference cost 28% with Ultralytics YOLO26
Learn how RTM uses Ultralytics YOLO26 to power 24/7 factory safety monitoring, cutting inference cost 28% on hardware manufacturers already own.
SK Godelius detects 3,400 defects on mining conveyors with Ultralytics YOLO
Learn how SK Godelius uses Ultralytics YOLO to automate defect and anomaly detection, helping mining plants boost safety and streamline workflow.
Camerite cuts development time 25.2% with Ultralytics YOLO
Learn how Camerite uses Ultralytics YOLO to automate video monitoring, cutting development time and helping cities shift to proactive security.
OnsiteIQ reduces project delays by 20% with Ultralytics YOLO11
Discover how OnsiteIQ uses Ultralytics YOLO11 to monitor construction sites, cutting project delays 20% and resolving disputes 3x faster.
mtrail's TrainVision cuts rail data collection time by close to 100%
Explore how mtrail's TrainVision uses Ultralytics YOLO to automate rail data collection, cutting time up to 100% and errors by 90%.
Glacier Robotics reduced PET leakage by 70% across US recycling facilities
See how Glacier Robotics uses Ultralytics YOLO11 to reduce PET leakage by 70%, improve recycling accuracy, and automate waste sorting.
SOHGA cuts parking monitoring time by 30% with Ultralytics YOLO
Learn how SOHGA's MEGURU system uses Ultralytics YOLO26 to automate parking lot patrols, reduce patrol time by 30%, and improve safety.
Scaleout cuts model updates from weeks to hours with Ultralytics YOLO
Discover how Scaleout uses Ultralytics YOLO and federated learning to fine-tune AI models on edge devices while keeping sensitive data secure.
RapiD Engineering deploys seafood quality control 1 week faster with Ultralytics YOLO
See how RapiD Engineering uses Ultralytics YOLO to automate salmon inspection, detect defects in real time, and save a week of engineering work.
Project Ocean Oasis advances reef conservation with Ultralytics YOLO
Discover how Project Ocean Oasis uses Ultralytics YOLO, edge AI, and autonomous monitoring systems to scale reef conservation and ocean intelligence.
Volley powers 250+ on-court AI trainers with Ultralytics YOLO
See how Volley uses Ultralytics YOLO for pose estimation, ball detection, and court classification to power real-time coaching on about 250 on-court trainers.
WG Tech Solutions cuts safety violations by 28% with Ultralytics YOLO and Axelera’s AI Accelerator
Learn how WG Tech Solutions cut manufacturing safety violations by 28% using Ultralytics YOLO with Axelera Metis AI accelerators at the edge.
Stride delivers 1-minute equine gait analysis with Ultralytics YOLO
Learn how Stride uses Ultralytics YOLO26 pose estimation on iPhone to deliver a full, offline equine gait analysis in about one minute, with no special hardware.
Pixelabs achieves 95% recall with Ultralytics YOLO-driven automation
Learn how Pixelabs uses Ultralytics YOLOv8 in its AI-Engine to automate retinal image analysis for early Alzheimer’s research, reaching up to 95% recall.
SiteAssist improves site safety by processing 770K+ images with Ultralytics YOLO
Learn how SiteAssist uses Ultralytics YOLO26 to verify construction safety photos in real time, processing 770,000+ images and detecting 1.3M+ objects.
Chef Robotics uses Ultralytics YOLO to cut food giveaway by 67%
Chef Robotics uses Ultralytics YOLO for tray and ingredient detection, reaching 99.5% accuracy and helping Cafe Spice more than double meal output.
Cali Intelligence shortens checkout queues by 43% with Ultralytics YOLO
See how Cali Intelligence uses Ultralytics YOLO on existing store CCTV to cut average checkout queue length by 43% with real-time alerts and forecasting.
MarineSitu hits 96%+ uptime in underwater monitoring using Ultralytics YOLO
See how MarineSitu runs Ultralytics YOLO on edge hardware to detect marine wildlife around tidal turbines, cutting daily footage review to an hour or two.
Theia Scientific speeds up microscopy analysis 43× with Ultralytics YOLO
Discover how Theia Scientific uses Ultralytics YOLO in the Theiascope™ platform for real-time detection, segmentation, and measurement of TEM images.
eSmart Systems halves power line inspection time with Ultralytics YOLO
See how eSmart Systems uses Ultralytics YOLO in Grid Vision® to detect power grid components and defects, cutting utility inspection time by 50%.
Axelera AI delivers 34 FPS edge AI inference using Ultralytics YOLO
Discover how Axelera AI built Ultralytics YOLO into its Voyager SDK to deliver fast, accurate, and energy-efficient edge vision on Metis AIPUs.
STMicroelectronics runs Ultralytics YOLO on an MCU at just 9.4 mJ per inference
Discover how STMicroelectronics efficiently deploys Ultralytics YOLO models on low-power microcontrollers to achieve accurate real-time inference at the edge.
Specialvideo reaches 99% food inspection accuracy with Ultralytics YOLO
Discover how Specialvideo uses Ultralytics YOLO models to power real-time AI food inspection, ensuring quality, reducing waste, and boosting efficiency.
Vivity AI saves $5M+ a year in industrial operations with Ultralytics YOLO
Discover how Vivity AI leverages Ultralytics YOLO models to enhance industrial automation, improving efficiency, reducing downtime, and ensuring workplace safety.
Videologic Analytics scales to 10K AI camera licenses with Ultralytics YOLO
Discover how Videologic Analytics uses Ultralytics YOLO to improve video surveillance accuracy, reduce false alarms, and shorten time to market.
Prezent boosts slide detection accuracy by 34% with Ultralytics YOLO
Discover how Prezent uses Ultralytics YOLO to detect slide elements, raising accuracy from 65% to 87% and processing slides in under 10 seconds.
ALYCE accelerates traffic AI inference by 20% with Ultralytics YOLO
Discover how ALYCE uses Ultralytics YOLO to improve traffic data accuracy, save two months of development time, and build smarter urban mobility tools.
Kiwitron uses Ultralytics YOLO to detect industrial hazards 30m away
Explore how Kiwitron uses Ultralytics YOLO models in its KiwiEye system to detect industrial hazards up to 30 meters away for safer, more efficient floors.
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