Models
Florence-2 vs. MT-YOLOv6

Florence-2 vs. MT-YOLOv6

Both Florence 2 and MT-YOLOv6 are commonly used in computer vision projects. Below, we compare and contrast Florence 2 and MT-YOLOv6.

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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MT-YOLOv6

MT-YOLOv6 is a YOLO based model released in 2022.
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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CNN, YOLO
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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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5.5k+
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License
MIT
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GPL-3.0
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Training Notebook

Compare Florence 2 and MT-YOLOv6 with Autodistill

Compare Florence-2 vs. MT-YOLOv6

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.