Models
Florence 2 Object Detection vs. SegFormer

Florence 2 Object Detection vs. SegFormer

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

Models

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SegFormer

SegFormer is a computer vision framework used in semantic segmentation tasks, implemented with transformers.
Model Type
Object Detection
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Semantic Segmentation
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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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2.2k+
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License
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NVIDIA Source Code
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Training Notebook

Compare Florence 2 Object Detection and SegFormer with Autodistill

Compare Florence 2 Object Detection vs. SegFormer

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.