Models
RF-DETR vs. YOLO11

RF-DETR vs. YOLO11

Both RF-DETR and YOLO11 are commonly used in computer vision projects. Below, we compare and contrast RF-DETR and YOLO11.

Models

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RF-DETR

RF-DETR is a SOTA, real-time object detection model architecture developed by Roboflow and released under the Apache 2.0 license.
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YOLO11

YOLO11 is a computer vision model that you can use for object detection, segmentation, and classification.
Model Type
Object Detection
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Object Detection
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Model Features
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Item 2 Info
Architecture
Transformers
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Frameworks
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
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29000
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License
Apache 2.0
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AGPL-3.0
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Training Notebook

Compare RF-DETR and YOLO11 with Autodistill

Compare RF-DETR vs. YOLO11

Provide your own image below to test YOLOv8 and YOLOv9 model checkpoints trained on the Microsoft COCO dataset.

COCO can detect 80 common objects, including cats, cell phones, and cars.