Models
RF-DETR vs. YOLOv10

RF-DETR vs. YOLOv10

Both RF-DETR and YOLOv10 are commonly used in computer vision projects. Below, we compare and contrast RF-DETR and YOLOv10.

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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YOLOv10

YOLOv10 is a real-time object detection model introduced in the paper "YOLOv10: Real-Time End-to-End Object Detection".
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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7800
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License
Apache 2.0
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GNU Affero General Public
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Training Notebook

Compare RF-DETR and YOLOv10 with Autodistill

Compare RF-DETR vs. YOLOv10

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.