Computer vision in Sports
From player tracking to performance analytics, Ultralytics YOLO powers the next generation of sports intelligence.
Trusted by the world's leading organizations
How Ultralytics YOLO TACKLES Sports
Real-time AI that works with your team
Built for the sports industry, Ultralytics YOLO streamlines workflows for precise, fast, and production-ready computer vision solutions that leverage your existing infrastructure.
- Plug-and-play deployment: Deploys with minimal overhead, cutting integration time to days.
- Detection accuracy: State-of-the-art real-time detection across objects, environments, and dynamic scenes.
- Sub-5ms inference: Edge, cloud, or on-premise deployment with 22 export formats.
- Production-ready in hours: Annotate, train, and deploy reducing time-to-market.
Proven results in sports
From ball tracking to game analytics and athlete recovery, here is what teams are achieving with Ultralytics YOLO.
Try YOLO26 Inference
Drag and drop an image to see real-time object detection
Vision AI for every stage in sports
Purpose-built solutions for every stage of your production process.
Ball trajectory tracking
Ball trajectory tracking with Ultralytics YOLO
Leverage Ultralytics YOLO to track balls in real time across sports including padel, tennis, billiards, and more, generating automated analytics, highlight clips, and coaching insights from video feeds in real-time.
- Real-time ball detection: Track ball position and movement across frames at high speed and accuracy.
- Multi-sport flexibility: Adapt detection to different sizes, speeds, court conditions, and camera angles with your own data.
- Court and field analytics: Combine ball tracking with player data to generate heat maps and tactical insights.
Choose from 22 export formats
Train once, deploy everywhere, from edge microcontrollers to cloud GPU clusters.
Transforming industries with vision AI
From factory floors to operating rooms, Ultralytics turns visual data into real-time decisions.
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.
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
Frequently asked questions
Computer vision in sports analytics uses AI models to automatically track players, balls, and movements across live and pre-recorded video, generating performance data, heat maps, and coaching insights without manual review. Ultralytics YOLO processes sports footage in real time, turning raw video into structured analytics across football, padel, billiards, and more.
YOLO detects players, field markers, and open space in the footage, letting broadcasters insert virtual ads or graphics in real time - live or pre-recorded, without changing the existing production pipeline. Learn more about object tracking with Ultralytics YOLO.
Pose estimation tracks body keypoints and joint angles to flag form errors during a workout in real time. Equipment like barbells can block part of the view during a squat or deadlift, so models trained on your own gym footage handle these cases better than generic pre-trained ones.
Yes. Pose estimation can monitor joint angles and range of motion during physical therapy, helping clinicians and trainers track recovery progress and flag movement that deviates from a safe rehab plan, without specialized motion-capture equipment.
Pre-trained models often miss sport-specific things like a small, fast ball, or your exact court and kit colors. Fine-tuning on your own footage - often just a few hundred frames - gets much better results, and you can manage the whole process on Ultralytics Platform.
No. YOLO models export to run on edge hardware on location, so inference happens without sending match or event footage to the cloud - useful for live sports events and privacy-sensitive video.
Bring real-time vision to every sport.
Boost performance across sports with computer vision.