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| description: Explore comprehensive comparisons of Ultralytics YOLO models and other popular object detection models. Dive into detailed analyses to help you select the optimal model for your computer vision tasks. | ||
| keywords: YOLO model comparison, object detection benchmarks, YOLOv11, YOLOv10, YOLOv9, YOLOv8, YOLOv7, YOLOv6, YOLOv5, PP-YOLOE+, DAMO-YOLO, YOLOX, RTDETR, EfficientDet, Ultralytics, model selection, performance metrics | ||
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| # Model Comparisons: Choose the Best YOLO Model for Your Project | ||
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| Welcome to the Ultralytics Model Comparison Hub! This page serves as your index to a wide range of detailed technical comparisons between various state-of-the-art object detection models, including the latest Ultralytics YOLO models and other popular architectures. Whether you're deciding between different YOLO versions or considering alternatives like RTDETR or EfficientDet, our comprehensive comparisons are designed to guide you in making an informed decision for your computer vision projects. | ||
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| <script async src="https://cdn.jsdelivr.net/npm/[email protected]/dist/chart.min.js"></script> | ||
| <script defer src="../../javascript/benchmark.js"></script> | ||
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| <canvas id="modelComparisonChart" width="1024" height="400"></canvas> | ||
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| Each comparison page provides an in-depth analysis of architectural differences, performance benchmarks, strengths, weaknesses, and ideal use cases for the models being compared. We aim to equip you with the knowledge necessary to select the model that best aligns with your specific project requirements and performance priorities. | ||
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| Browse the lists below to find the comparison you are interested in. | ||
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| ## YOLO11 vs | ||
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| - [YOLO11 vs YOLOv10](compare/yolo11-vs-yolov10.md) | ||
| - [YOLO11 vs YOLOv9](compare/yolo11-vs-yolov9.md) | ||
| - [YOLO11 vs YOLOv8](compare/yolo11-vs-yolov8.md) | ||
| - [YOLO11 vs YOLOv7](compare/yolo11-vs-yolov7.md) | ||
| - [YOLO11 vs YOLOv6-3.0](compare/yolo11-vs-yolov6.md) | ||
| - [YOLO11 vs YOLOv5](compare/yolo11-vs-yolov5.md) | ||
| - [YOLO11 vs PP-YOLOE+](compare/yolo11-vs-pp-yoloe.md) | ||
| - [YOLO11 vs DAMO-YOLO](compare/yolo11-vs-damo-yolo.md) | ||
| - [YOLO11 vs YOLOX](compare/yolo11-vs-yolox.md) | ||
| - [YOLO11 vs RTDETRv2](compare/yolo11-vs-rtdetr.md) | ||
| - [YOLO11 vs EfficientDet](compare/yolo11-vs-efficientdet.md) | ||
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| ## YOLOv10 vs | ||
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| - [YOLOv10 vs YOLO11](compare/yolov10-vs-yolo11.md) | ||
| - [YOLOv10 vs YOLOv9](compare/yolov10-vs-yolov9.md) | ||
| - [YOLOv10 vs YOLOv8](compare/yolov10-vs-yolov8.md) | ||
| - [YOLOv10 vs YOLOv7](compare/yolov10-vs-yolov7.md) | ||
| - [YOLOv10 vs YOLOv6-3.0](compare/yolov10-vs-yolov6.md) | ||
| - [YOLOv10 vs YOLOv5](compare/yolov10-vs-yolov5.md) | ||
| - [YOLOv10 vs PP-YOLOE+](compare/yolov10-vs-pp-yoloe.md) | ||
| - [YOLOv10 vs DAMO-YOLO](compare/yolov10-vs-damo-yolo.md) | ||
| - [YOLOv10 vs YOLOX](compare/yolov10-vs-yolox.md) | ||
| - [YOLOv10 vs RTDETRv2](compare/yolov10-vs-rtdetr.md) | ||
| - [YOLOv10 vs EfficientDet](compare/yolov10-vs-efficientdet.md) | ||
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| ## YOLOv9 vs | ||
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| - [YOLOv9 vs YOLO11](compare/yolov9-vs-yolo11.md) | ||
| - [YOLOv9 vs YOLOv10](compare/yolov9-vs-yolov10.md) | ||
| - [YOLOv9 vs YOLOv8](compare/yolov9-vs-yolov8.md) | ||
| - [YOLOv9 vs YOLOv7](compare/yolov9-vs-yolov7.md) | ||
| - [YOLOv9 vs YOLOv6-3.0](compare/yolov9-vs-yolov6.md) | ||
| - [YOLOv9 vs YOLOv5](compare/yolov9-vs-yolov5.md) | ||
| - [YOLOv9 vs PP-YOLOE+](compare/yolov9-vs-pp-yoloe.md) | ||
| - [YOLOv9 vs DAMO-YOLO](compare/yolov9-vs-damo-yolo.md) | ||
| - [YOLOv9 vs YOLOX](compare/yolov9-vs-yolox.md) | ||
| - [YOLOv9 vs RTDETRv2](compare/yolov9-vs-rtdetr.md) | ||
| - [YOLOv9 vs EfficientDet](compare/yolov9-vs-efficientdet.md) | ||
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| ## YOLOv8 vs | ||
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| - [YOLOv8 vs YOLO11](compare/yolov8-vs-yolo11.md) | ||
| - [YOLOv8 vs YOLOv10](compare/yolov8-vs-yolov10.md) | ||
| - [YOLOv8 vs YOLOv9](compare/yolov8-vs-yolov9.md) | ||
| - [YOLOv8 vs YOLOv7](compare/yolov8-vs-yolov7.md) | ||
| - [YOLOv8 vs YOLOv6-3.0](compare/yolov8-vs-yolov6.md) | ||
| - [YOLOv8 vs YOLOv5](compare/yolov8-vs-yolov5.md) | ||
| - [YOLOv8 vs PP-YOLOE+](compare/yolov8-vs-pp-yoloe.md) | ||
| - [YOLOv8 vs DAMO-YOLO](compare/yolov8-vs-damo-yolo.md) | ||
| - [YOLOv8 vs YOLOX](compare/yolov8-vs-yolox.md) | ||
| - [YOLOv8 vs RTDETRv2](compare/yolov8-vs-rtdetr.md) | ||
| - [YOLOv8 vs EfficientDet](compare/yolov8-vs-efficientdet.md) | ||
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| ## YOLOv7 vs | ||
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| - [YOLOv7 vs YOLO11](compare/yolov7-vs-yolo11.md) | ||
| - [YOLOv7 vs YOLOv10](compare/yolov7-vs-yolov10.md) | ||
| - [YOLOv7 vs YOLOv9](compare/yolov7-vs-yolov9.md) | ||
| - [YOLOv7 vs YOLOv8](compare/yolov7-vs-yolov8.md) | ||
| - [YOLOv7 vs YOLOv6-3.0](compare/yolov7-vs-yolov6.md) | ||
| - [YOLOv7 vs YOLOv5](compare/yolov7-vs-yolov5.md) | ||
| - [YOLOv7 vs PP-YOLOE+](compare/yolov7-vs-pp-yoloe.md) | ||
| - [YOLOv7 vs DAMO-YOLO](compare/yolov7-vs-damo-yolo.md) | ||
| - [YOLOv7 vs YOLOX](compare/yolov7-vs-yolox.md) | ||
| - [YOLOv7 vs RTDETRv2](compare/yolov7-vs-rtdetr.md) | ||
| - [YOLOv7 vs EfficientDet](compare/yolov7-vs-efficientdet.md) | ||
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| ## YOLOv6-3.0 vs | ||
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| - [YOLOv6-3.0 vs YOLO11](compare/yolov6-vs-yolo11.md) | ||
| - [YOLOv6-3.0 vs YOLOv10](compare/yolov6-vs-yolov10.md) | ||
| - [YOLOv6-3.0 vs YOLOv9](compare/yolov6-vs-yolov9.md) | ||
| - [YOLOv6-3.0 vs YOLOv8](compare/yolov6-vs-yolov8.md) | ||
| - [YOLOv6-3.0 vs YOLOv7](compare/yolov6-vs-yolov7.md) | ||
| - [YOLOv6-3.0 vs YOLOv5](compare/yolov6-vs-yolov5.md) | ||
| - [YOLOv6-3.0 vs PP-YOLOE+](compare/yolov6-vs-pp-yoloe.md) | ||
| - [YOLOv6-3.0 vs DAMO-YOLO](compare/yolov6-vs-damo-yolo.md) | ||
| - [YOLOv6-3.0 vs YOLOX](compare/yolov6-vs-yolox.md) | ||
| - [YOLOv6-3.0 vs RTDETRv2](compare/yolov6-vs-rtdetr.md) | ||
| - [YOLOv6-3.0 vs EfficientDet](compare/yolov6-vs-efficientdet.md) | ||
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| ## YOLOv5 vs | ||
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| - [YOLOv5 vs YOLO11](compare/yolov5-vs-yolo11.md) | ||
| - [YOLOv5 vs YOLOv10](compare/yolov5-vs-yolov10.md) | ||
| - [YOLOv5 vs YOLOv9](compare/yolov5-vs-yolov9.md) | ||
| - [YOLOv5 vs YOLOv8](compare/yolov5-vs-yolov8.md) | ||
| - [YOLOv5 vs YOLOv7](compare/yolov5-vs-yolov7.md) | ||
| - [YOLOv5 vs YOLOv6-3.0](compare/yolov5-vs-yolov6.md) | ||
| - [YOLOv5 vs PP-YOLOE+](compare/yolov5-vs-pp-yoloe.md) | ||
| - [YOLOv5 vs DAMO-YOLO](compare/yolov5-vs-damo-yolo.md) | ||
| - [YOLOv5 vs YOLOX](compare/yolov5-vs-yolox.md) | ||
| - [YOLOv5 vs RTDETRv2](compare/yolov5-vs-rtdetr.md) | ||
| - [YOLOv5 vs EfficientDet](compare/yolov5-vs-efficientdet.md) | ||
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| ## PP-YOLOE+ vs | ||
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| - [PP-YOLOE+ vs YOLO11](compare/pp-yoloe-vs-yolo11.md) | ||
| - [PP-YOLOE+ vs YOLOv10](compare/pp-yoloe-vs-yolov10.md) | ||
| - [PP-YOLOE+ vs YOLOv9](compare/pp-yoloe-vs-yolov9.md) | ||
| - [PP-YOLOE+ vs YOLOv8](compare/pp-yoloe-vs-yolov8.md) | ||
| - [PP-YOLOE+ vs YOLOv7](compare/pp-yoloe-vs-yolov7.md) | ||
| - [PP-YOLOE+ vs YOLOv6-3.0](compare/pp-yoloe-vs-yolov6.md) | ||
| - [PP-YOLOE+ vs YOLOv5](compare/pp-yoloe-vs-yolov5.md) | ||
| - [PP-YOLOE+ vs DAMO-YOLO](compare/pp-yoloe-vs-damo-yolo.md) | ||
| - [PP-YOLOE+ vs YOLOX](compare/pp-yoloe-vs-yolox.md) | ||
| - [PP-YOLOE+ vs RTDETRv2](compare/pp-yoloe-vs-rtdetr.md) | ||
| - [PP-YOLOE+ vs EfficientDet](compare/pp-yoloe-vs-efficientdet.md) | ||
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| ## DAMO-YOLO vs | ||
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| - [DAMO-YOLO vs YOLO11](compare/damo-yolo-vs-yolo11.md) | ||
| - [DAMO-YOLO vs YOLOv10](compare/damo-yolo-vs-yolov10.md) | ||
| - [DAMO-YOLO vs YOLOv9](compare/damo-yolo-vs-yolov9.md) | ||
| - [DAMO-YOLO vs YOLOv8](compare/damo-yolo-vs-yolov8.md) | ||
| - [DAMO-YOLO vs YOLOv7](compare/damo-yolo-vs-yolov7.md) | ||
| - [DAMO-YOLO vs YOLOv6-3.0](compare/damo-yolo-vs-yolov6.md) | ||
| - [DAMO-YOLO vs YOLOv5](compare/damo-yolo-vs-yolov5.md) | ||
| - [DAMO-YOLO vs PP-YOLOE+](compare/damo-yolo-vs-pp-yoloe.md) | ||
| - [DAMO-YOLO vs YOLOX](compare/damo-yolo-vs-yolox.md) | ||
| - [DAMO-YOLO vs RTDETRv2](compare/damo-yolo-vs-rtdetr.md) | ||
| - [DAMO-YOLO vs EfficientDet](compare/damo-yolo-vs-efficientdet.md) | ||
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| ## YOLOX vs | ||
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| - [YOLOX vs YOLO11](compare/yolox-vs-yolo11.md) | ||
| - [YOLOX vs YOLOv10](compare/yolox-vs-yolov10.md) | ||
| - [YOLOX vs YOLOv9](compare/yolox-vs-yolov9.md) | ||
| - [YOLOX vs YOLOv8](compare/yolox-vs-yolov8.md) | ||
| - [YOLOX vs YOLOv7](compare/yolox-vs-yolov7.md) | ||
| - [YOLOX vs YOLOv6-3.0](compare/yolox-vs-yolov6.md) | ||
| - [YOLOX vs YOLOv5](compare/yolox-vs-yolov5.md) | ||
| - [YOLOX vs PP-YOLOE+](compare/yolox-vs-pp-yoloe.md) | ||
| - [YOLOX vs DAMO-YOLO](compare/yolox-vs-damo-yolo.md) | ||
| - [YOLOX vs RTDETRv2](compare/yolox-vs-rtdetr.md) | ||
| - [YOLOX vs EfficientDet](compare/yolox-vs-efficientdet.md) | ||
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| ## RTDETRv2 vs | ||
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| - [RTDETRv2 vs YOLO11](compare/rtdetr-vs-yolo11.md) | ||
| - [RTDETRv2 vs YOLOv10](compare/rtdetr-vs-yolov10.md) | ||
| - [RTDETRv2 vs YOLOv9](compare/rtdetr-vs-yolov9.md) | ||
| - [RTDETRv2 vs YOLOv8](compare/rtdetr-vs-yolov8.md) | ||
| - [RTDETRv2 vs YOLOv7](compare/rtdetr-vs-yolov7.md) | ||
| - [RTDETRv2 vs YOLOv6-3.0](compare/rtdetr-vs-yolov6.md) | ||
| - [RTDETRv2 vs YOLOv5](compare/rtdetr-vs-yolov5.md) | ||
| - [RTDETRv2 vs PP-YOLOE+](compare/rtdetr-vs-pp-yoloe.md) | ||
| - [RTDETRv2 vs DAMO-YOLO](compare/rtdetr-vs-damo-yolo.md) | ||
| - [RTDETRv2 vs YOLOX](compare/rtdetr-vs-yolox.md) | ||
| - [RTDETRv2 vs EfficientDet](compare/rtdetr-vs-efficientdet.md) | ||
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| ## EfficientDet vs | ||
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| - [EfficientDet vs YOLO11](compare/efficientdet-vs-yolo11.md) | ||
| - [EfficientDet vs YOLOv10](compare/efficientdet-vs-yolov10.md) | ||
| - [EfficientDet vs YOLOv9](compare/efficientdet-vs-yolov9.md) | ||
| - [EfficientDet vs YOLOv8](compare/efficientdet-vs-yolov8.md) | ||
| - [EfficientDet vs YOLOv7](compare/efficientdet-vs-yolov7.md) | ||
| - [EfficientDet vs YOLOv6-3.0](compare/efficientdet-vs-yolov6.md) | ||
| - [EfficientDet vs YOLOv5](compare/efficientdet-vs-yolov5.md) | ||
| - [EfficientDet vs PP-YOLOE+](compare/efficientdet-vs-pp-yoloe.md) | ||
| - [EfficientDet vs DAMO-YOLO](compare/efficientdet-vs-damo-yolo.md) | ||
| - [EfficientDet vs YOLOX](compare/efficientdet-vs-yolox.md) | ||
| - [EfficientDet vs RTDETRv2](compare/efficientdet-vs-rtdetr.md) | ||
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| This index is continuously updated as new models are released and comparisons are made available. We encourage you to explore these resources to gain a deeper understanding of each model's capabilities and find the perfect fit for your next computer vision project. Happy comparing! |