Coming soon
Ultralytics YOLO27 models
Faster, more accurate, and simpler YOLO models. YOLO27l is the first Ultralytics model past 60 mAP, and every size improves, with the same one-line swap.
Trusted by industry leaders
What's new in Ultralytics YOLO27
Simpler model lineup
Four models, four clear answers. n and s for edge devices, m for production GPU workloads, l for accuracy-critical applications. No x model to evaluate as YOLO27l already delivers flagship accuracy.
Hybrid architecture
The best architecture for each model size, rather than one design stretched across the whole range. Small models stay fast on limited hardware; large models go further on accuracy.
Stronger accuracy
YOLO27l is the first Ultralytics model past 60 mAP on COCO, with higher accuracy across the range and strong accuracy-speed tradeoffs.
Seven tasks
Object detection, instance segmentation, semantic segmentation, depth estimation, image classification, pose estimation, and oriented object detection. 28 models across four sizes, all sharing the same interface.
Ultralytics YOLO models at a glance
Compare recent Ultralytics YOLO model families across speed, accuracy, and supported vision tasks.
Why join the waitlist?
Ultralytics YOLO27 is coming soon. Sign up once and be the first to hear.
Join waitlist
Security & compliance
Enterprise-grade security, certified
Independently certified and audited, so your data stays protected in transit and at rest.
SOC 2 Type I
Attested against AICPA Security, Availability, and Confidentiality TSC
ISO 27001:2022
Certified information security management system
GDPR & CCPA
Aligned with global data protection regulations
Why choose Ultralytics YOLO27?
Proven at scale
Ultralytics YOLO serves billions of inference jobs a day across manufacturing, logistics, security, and aerial use cases. You're adopting a model family that's already running in production.
Deploy anywhere you already work
Over 20 export formats and close to 50 integrations, built with the hardware vendors themselves. The model you train is the model you ship.
Clear commercial licensing
Flexible options for academic, open-source, and commercial use under AGPL-3.0 and Enterprise. Know where you stand before you build.
Built with the community that uses it
More than a thousand contributors test, report, and improve these models across real production deployments.
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
"What's really nice is that the model performs really well in real time on edge hardware on the trainer, and we can use the same model in the cloud to run the exact same flow."
WG Tech Solutions cuts safety violations by 28% with Ultralytics YOLO and Axelera’s AI Accelerator
Learn how WG Tech Solutions managed to reduce safety violations in manufacturing by 28% leveraging Ultralytics YOLO and Axelera’s AI Accelerator
Stride delivers 1-minute equine gait analysis with Ultralytics YOLO
Learn how Stride leverages Ultralytics YOLO models for horse pose estimation, achieving a full gait analysis in under 1 minute.
Pixelabs achieves 95% recall with Ultralytics YOLO-driven automation
Learn how Pixelabs leverages Ultralytics YOLO models to automate workflows and achieve 95% recall.
SiteAssist improves site safety by processing 770K+ images with Ultralytics YOLO
Learn how SiteAssist leverages Ultralytics YOLO models to improve construction site safety.
Chef Robotics uses Ultralytics YOLO to cut food giveaway by 67%
Explore how Chef Robotics uses Ultralytics YOLO models for precise food assembly.
Cali Intelligence shortens checkout queues by 43% with Ultralytics YOLO
Explore how Cali Intelligence uses Ultralytics YOLO models to reduce retail checkout queues with object detection.
MarineSitu hits 96%+ uptime in underwater monitoring using Ultralytics YOLO
Discover how MarineSitu uses Ultralytics YOLO to transform underwater object detection.
Theia Scientific speeds up microscopy analysis 43× with Ultralytics YOLO
Discover how Theia Scientific uses Ultralytics YOLO to redefine microscopy data analysis.
eSmart Systems halves power line inspection time with Ultralytics YOLO
Discover how eSmart Systems uses Ultralytics YOLO to boost defect detection speed and transform utility inspections.
Axelera AI delivers 34 FPS edge AI inference using Ultralytics YOLO
Discover how Axelera AI uses Ultralytics YOLO to deliver fast, accurate, and efficient edge vision on Metis AI chips.
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 integrates Ultralytics YOLO models to enhance video surveillance, improving detection accuracy, reducing false alarms, and optimizing real-time threat monitoring.
Prezent boosts slide detection accuracy by 34% with Ultralytics YOLO
Discover how Prezent leverages Ultralytics YOLO models to automate slide element detection, reducing processing time to under 10 seconds while preserving structure and design.
ALYCE accelerates traffic AI inference by 20% with Ultralytics YOLO
Discover how ALYCE uses Ultralytics YOLO models to enhance data accuracy, optimize urban mobility, and create AI-driven traffic solutions for sustainable, smarter cities.
Kiwitron uses Ultralytics YOLO to detect industrial hazards 30m away
Explore how Kiwitron uses Ultralytics YOLO models in its KewiEye solution to detect and address industrial hazards for better safety.
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
"What's really nice is that the model performs really well in real time on edge hardware on the trainer, and we can use the same model in the cloud to run the exact same flow."
WG Tech Solutions cuts safety violations by 28% with Ultralytics YOLO and Axelera’s AI Accelerator
Learn how WG Tech Solutions managed to reduce safety violations in manufacturing by 28% leveraging Ultralytics YOLO and Axelera’s AI Accelerator
Stride delivers 1-minute equine gait analysis with Ultralytics YOLO
Learn how Stride leverages Ultralytics YOLO models for horse pose estimation, achieving a full gait analysis in under 1 minute.
Pixelabs achieves 95% recall with Ultralytics YOLO-driven automation
Learn how Pixelabs leverages Ultralytics YOLO models to automate workflows and achieve 95% recall.
SiteAssist improves site safety by processing 770K+ images with Ultralytics YOLO
Learn how SiteAssist leverages Ultralytics YOLO models to improve construction site safety.
Chef Robotics uses Ultralytics YOLO to cut food giveaway by 67%
Explore how Chef Robotics uses Ultralytics YOLO models for precise food assembly.
Cali Intelligence shortens checkout queues by 43% with Ultralytics YOLO
Explore how Cali Intelligence uses Ultralytics YOLO models to reduce retail checkout queues with object detection.
MarineSitu hits 96%+ uptime in underwater monitoring using Ultralytics YOLO
Discover how MarineSitu uses Ultralytics YOLO to transform underwater object detection.
Theia Scientific speeds up microscopy analysis 43× with Ultralytics YOLO
Discover how Theia Scientific uses Ultralytics YOLO to redefine microscopy data analysis.
eSmart Systems halves power line inspection time with Ultralytics YOLO
Discover how eSmart Systems uses Ultralytics YOLO to boost defect detection speed and transform utility inspections.
Axelera AI delivers 34 FPS edge AI inference using Ultralytics YOLO
Discover how Axelera AI uses Ultralytics YOLO to deliver fast, accurate, and efficient edge vision on Metis AI chips.
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 integrates Ultralytics YOLO models to enhance video surveillance, improving detection accuracy, reducing false alarms, and optimizing real-time threat monitoring.
Prezent boosts slide detection accuracy by 34% with Ultralytics YOLO
Discover how Prezent leverages Ultralytics YOLO models to automate slide element detection, reducing processing time to under 10 seconds while preserving structure and design.
ALYCE accelerates traffic AI inference by 20% with Ultralytics YOLO
Discover how ALYCE uses Ultralytics YOLO models to enhance data accuracy, optimize urban mobility, and create AI-driven traffic solutions for sustainable, smarter cities.
Kiwitron uses Ultralytics YOLO to detect industrial hazards 30m away
Explore how Kiwitron uses Ultralytics YOLO models in its KewiEye solution to detect and address industrial hazards for better safety.
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
"What's really nice is that the model performs really well in real time on edge hardware on the trainer, and we can use the same model in the cloud to run the exact same flow."
WG Tech Solutions cuts safety violations by 28% with Ultralytics YOLO and Axelera’s AI Accelerator
Learn how WG Tech Solutions managed to reduce safety violations in manufacturing by 28% leveraging Ultralytics YOLO and Axelera’s AI Accelerator
Stride delivers 1-minute equine gait analysis with Ultralytics YOLO
Learn how Stride leverages Ultralytics YOLO models for horse pose estimation, achieving a full gait analysis in under 1 minute.
Pixelabs achieves 95% recall with Ultralytics YOLO-driven automation
Learn how Pixelabs leverages Ultralytics YOLO models to automate workflows and achieve 95% recall.
SiteAssist improves site safety by processing 770K+ images with Ultralytics YOLO
Learn how SiteAssist leverages Ultralytics YOLO models to improve construction site safety.
Chef Robotics uses Ultralytics YOLO to cut food giveaway by 67%
Explore how Chef Robotics uses Ultralytics YOLO models for precise food assembly.
Cali Intelligence shortens checkout queues by 43% with Ultralytics YOLO
Explore how Cali Intelligence uses Ultralytics YOLO models to reduce retail checkout queues with object detection.
MarineSitu hits 96%+ uptime in underwater monitoring using Ultralytics YOLO
Discover how MarineSitu uses Ultralytics YOLO to transform underwater object detection.
Theia Scientific speeds up microscopy analysis 43× with Ultralytics YOLO
Discover how Theia Scientific uses Ultralytics YOLO to redefine microscopy data analysis.
eSmart Systems halves power line inspection time with Ultralytics YOLO
Discover how eSmart Systems uses Ultralytics YOLO to boost defect detection speed and transform utility inspections.
Axelera AI delivers 34 FPS edge AI inference using Ultralytics YOLO
Discover how Axelera AI uses Ultralytics YOLO to deliver fast, accurate, and efficient edge vision on Metis AI chips.
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 integrates Ultralytics YOLO models to enhance video surveillance, improving detection accuracy, reducing false alarms, and optimizing real-time threat monitoring.
Prezent boosts slide detection accuracy by 34% with Ultralytics YOLO
Discover how Prezent leverages Ultralytics YOLO models to automate slide element detection, reducing processing time to under 10 seconds while preserving structure and design.
ALYCE accelerates traffic AI inference by 20% with Ultralytics YOLO
Discover how ALYCE uses Ultralytics YOLO models to enhance data accuracy, optimize urban mobility, and create AI-driven traffic solutions for sustainable, smarter cities.
Kiwitron uses Ultralytics YOLO to detect industrial hazards 30m away
Explore how Kiwitron uses Ultralytics YOLO models in its KewiEye solution to detect and address industrial hazards for better safety.
Frequently asked questions
Ultralytics YOLO models are available under AGPL-3.0 for academic, research, and open-source work, and under an Ultralytics Enterprise License for commercial use that cannot meet the AGPL-3.0 terms. Licensing specific to YOLO27 will be confirmed at launch. See licensing options if you are planning a commercial deployment.
Seven: object detection, instance segmentation, semantic segmentation, depth estimation, image classification, pose estimation, and oriented object detection. Each task is planned across all four model sizes, and all of them share the same Python and CLI interface as earlier Ultralytics YOLO models.
Not yet. Model weights, configurations, and package support are not being released at this stage, so current projects should continue on YOLO26, which is fully supported in the Ultralytics Python package. Work you build on YOLO26 carries over, because YOLO27 uses the same interface. Join the waitlist and we will tell you the moment YOLO27 is available.
Ultralytics YOLO27 uses the best architecture for each model size rather than one design stretched across the whole range. The smaller n and s models keep a streamlined CNN design for speed on limited hardware, while the larger m and l models use a query based, NMS-free design for higher accuracy. The lineup is simpler too, with no x model to evaluate. See the YOLO27 documentation for architecture details and preliminary benchmarks.
Join the waitlist at the top of this page with your work email. You will receive product updates as we publish architecture details and benchmarks, plus a launch notification when the models are available to download, train, and deploy.
Ultralytics YOLO27 is the next generation of Ultralytics YOLO models, following YOLO26. It comes in four sizes, n, s, m, and l, and supports seven vision tasks through a single shared interface. The models are in final research and development and are not yet available to download or train.
Join the Ultralytics YOLO27 waitlist
Get product updates and a launch notification when YOLO27 is ready.