Models
4M vs. SegFormer

4M vs. SegFormer

Both 4M and SegFormer are commonly used in computer vision projects. Below, we compare and contrast 4M and SegFormer.

Models

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4M

The 4M model is a versatile multimodal Transformer model developed by EPFL and Apple, capable of handling a handful of vision and language tasks.
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SegFormer

SegFormer is a computer vision framework used in semantic segmentation tasks, implemented with transformers.
Model Type
Multimodal Model
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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
PyTorch
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
1.1k
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2.2k+
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License
Apache 2.0
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NVIDIA Source Code
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Training Notebook

Compare 4M and SegFormer with Autodistill

Compare 4M 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.