Models
YOLO26 vs. Florence 2

YOLO26 vs. Florence 2

Both YOLO26 and Florence 2 are commonly used in computer vision projects. Below, we compare and contrast YOLO26 and Florence 2.

Models

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YOLO26

YOLO26 is a real-time, NMS-free YOLO model optimized for edge deployment, supporting multiple vision tasks across scalable model sizes.
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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
YOLO
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Annotation Format
Instance Segmentation
Instance Segmentation
Framework
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GitHub Stars
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License
AGPL-3.0
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MIT
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Training Notebook

Compare YOLO26 and Florence 2 with Autodistill

Compare YOLO26 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.