Models
Florence-2 vs. RTMDet

Florence-2 vs. RTMDet

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

Models

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Florence 2

Florence-2 is a lightweight vision-language model open-sourced by Microsoft under the MIT license.
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RTMDet

RTMDet is an efficient real-time object detector, with self-reported metrics outperforming the YOLO series. It achieves 52.8% AP on COCO with 300+ FPS on an NVIDIA 3090 GPU, making it one of the fastest and most accurate object detectors available as of writing this post.
Model Type
Object Detection
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
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Frameworks
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
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License
MIT
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Training Notebook

Compare Florence 2 and RTMDet with Autodistill

Compare Florence-2 vs. RTMDet

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.