Models
RF-DETR vs. YOLOv7

RF-DETR vs. YOLOv7

Both RF-DETR and YOLOv7 are commonly used in computer vision projects. Below, we compare and contrast RF-DETR and YOLOv7.

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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YOLOv7

YOLOv7 is a state of the art object detection model.
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, CNN
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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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13.0k+
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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 YOLOv7 with Autodistill

Compare RF-DETR vs. YOLOv7

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.