Models
RF-DETR vs. YOLOv3 Keras

RF-DETR vs. YOLOv3 Keras

Both RF-DETR and YOLOv3 Keras are commonly used in computer vision projects. Below, we compare and contrast RF-DETR and YOLOv3 Keras.

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.
Learn more about RF-DETR
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YOLOv3 Keras

Though it is no longer the most accurate object detection algorithm, YOLO v3 is still a very good choice when you need real-time detection while maintaining excellent accuracy. Keras implementation.
Learn more about YOLOv3 Keras
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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Keras
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub
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View Repo
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View Repo
GitHub Stars
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7.1k+
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License
Apache 2.0
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MIT
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Paper
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View Paper
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View Paper
Training Notebook
Train on Colab
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Train on Colab
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Deploy Model
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Deploy with Roboflow
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Deploy with Roboflow
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Compare RF-DETR and YOLOv3 Keras with Autodistill

Compare RF-DETR vs. YOLOv3 Keras

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.