Models
RF-DETR vs. YOLOv9

RF-DETR vs. YOLOv9

Both RF-DETR and YOLOv9 are commonly used in computer vision projects. Below, we compare and contrast RF-DETR and YOLOv9.

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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YOLOv9

YOLOv9 is an object detection model architecture released on February 21st, 2024.
Model Type
Object Detection
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
Transformers
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YOLO
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Frameworks
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
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8.5k+
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License
Apache 2.0
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GPL-3.0
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Training Notebook

Compare RF-DETR and YOLOv9 with Autodistill

Compare RF-DETR vs. YOLOv9

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.