Models
Florence-2 vs. YOLOv7

Florence-2 vs. YOLOv7

Both Florence 2 and YOLOv7 are commonly used in computer vision projects. Below, we compare and contrast Florence 2 and YOLOv7.

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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YOLOv7

YOLOv7 is a state of the art object detection model.
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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13.0k+
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License
MIT
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GPL-3.0
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Training Notebook

Compare Florence 2 and YOLOv7 with Autodistill

Compare Florence-2 vs. YOLOv7

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.