Models
RF-DETR vs. Florence 2

RF-DETR vs. Florence 2

Both RF-DETR and Florence 2 are commonly used in computer vision projects. Below, we compare and contrast RF-DETR and Florence 2.

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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Florence 2

Florence-2 is a lightweight vision-language model open-sourced by Microsoft under the MIT license.
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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Annotation Format
Instance Segmentation
Instance Segmentation
Framework
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GitHub Stars
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License
Apache 2.0
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MIT
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Training Notebook

Compare RF-DETR and Florence 2 with Autodistill

Compare RF-DETR vs. Florence 2

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.

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