Models
Florence-2 vs. YOLOR

Florence-2 vs. YOLOR

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

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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YOLOR

YOLOR (You Only Learn One Representation) is an object detection model that uses both implicit and explicit knowledge to make predictions.
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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2k+
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License
MIT
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GPL-3.0
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Training Notebook

Compare Florence 2 and YOLOR with Autodistill

Compare Florence-2 vs. YOLOR

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.