Models
RF-DETR vs. EfficientNet

RF-DETR vs. EfficientNet

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

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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EfficientNet

EfficientNet is from a family of image classification models from GoogleAI that train comparatively quickly on small amounts of data, making the most of limited datasets.
Model Type
Object Detection
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Classification
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Model Features
Item 1 Info
Item 2 Info
Architecture
Transformers
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CNN
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Frameworks
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Keras
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
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License
Apache 2.0
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Training Notebook

Compare RF-DETR and EfficientNet with Autodistill

Compare RF-DETR vs. EfficientNet

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.