Models
OpenAI CLIP vs. MobileCLIP

OpenAI CLIP vs. MobileCLIP

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

Models

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OpenAI CLIP

CLIP (Contrastive Language-Image Pre-Training) is an impressive multimodal zero-shot image classifier that achieves impressive results in a wide range of domains with no fine-tuning. It applies the recent advancements in large-scale transformers like GPT-3 to the vision arena.
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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
Model Type
Classification
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Classification
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Model Features
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Architecture
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Frameworks
PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
21.4k+
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License
MIT
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Training Notebook

Compare OpenAI CLIP and MobileCLIP with Autodistill

Compare OpenAI CLIP vs. MobileCLIP

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.