Models
Florence-2 vs. DETR

Florence-2 vs. DETR

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

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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DETR

Detection Transformer (DETR) is an end-to-end object detection model implemented using the Transformer architecture.
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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Transformers
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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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12.7k+
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License
MIT
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Apache-2.0
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Training Notebook

Compare Florence 2 and DETR with Autodistill

Compare Florence-2 vs. DETR

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.