Models
MobileCLIP vs. FastViT

MobileCLIP vs. FastViT

Both MobileCLIP and FastViT are commonly used in computer vision projects. Below, we compare and contrast MobileCLIP and FastViT.

Models

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MobileCLIP

MobileCLIP is an image embedding model developed by Apple and introduced in the "MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training" paper
Learn more about MobileCLIP
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FastViT

FastViT is a fast image classification model developed by Apple.
Learn more about FastViT
Model Type
Classification
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Classification
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Model Features
Item 1 Info
Item 2 Info
Architecture
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Frameworks
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub
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GitHub Stars
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License
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Paper
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Training Notebook
Train on Colab
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Train on Colab
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Deploy Model
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Deploy with Roboflow
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Deploy with Roboflow
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Compare MobileCLIP and FastViT with Autodistill

Compare MobileCLIP vs. FastViT

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.