Models
Florence-2 vs. YOLOv8

Florence-2 vs. YOLOv8

Both Florence 2 and YOLOv8 are commonly used in computer vision projects. Below, we compare and contrast Florence 2 and YOLOv8.

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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YOLOv8

YOLOv8 is a state-of-the-art object detection and image segmentation model created by Ultralytics, the developers of YOLOv5.
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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YOLO, CNN
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Frameworks
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
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21.1k+
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License
MIT
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AGPL-3.0
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Training Notebook

Compare Florence 2 and YOLOv8 with Autodistill

Compare Florence-2 vs. YOLOv8

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.