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openai/CLIP

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

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OpenAI

OpenAI

openai • ai-lab

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Created

Dec 16, 2020

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README Summary

CLIP (Contrastive Language-Image Pretraining) is a neural network that efficiently learns visual concepts from natural language supervision. It can be applied to any visual classification benchmark by simply providing the names of the visual categories to be recognized, similar to the zero-shot capabilities of GPT-2 and GPT-3. The model connects text and images in a single embedding space, enabling it to predict the most relevant text description for any given image.

AI Dev Skills

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Contrastive LearningMultimodal AIZero-shot ClassificationVision-Language ModelsTransfer LearningNeural Network Architecture DesignComputer VisionNatural Language ProcessingRepresentation LearningSelf-supervised Learning

Tags

Contrastive LearningMultimodal AIZero-shot ClassificationVision-Language ModelsTransfer LearningNeural Network Architecture DesignComputer VisionNatural Language ProcessingRepresentation LearningSelf-supervised LearningImage Search and RetrievalEducationZero-shot Image ClassificationSocial MediaProduct RecommendationCross-modal Similarity SearchOn-premiseImageCloud APIImage CaptioningMedia and EntertainmentFoundation ModelsHealthcareContent ManagementZero-shot LearningEdge/MobileContent ModerationVisual Question AnsweringMultimodalVisual Content AnalysisVision-Language UnderstandingE-commerceTextDigital Asset ManagementSelf-hostedJupyter Notebook

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Updated 1 months ago

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production
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high
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production

Categories

RAG & RetrievalPrimaryEvals & BenchmarkingNLP & TextData Science & AnalyticsHealthcare & BiologyMultimodal AIEdge & Mobile AISearch & KnowledgeOther AI / MLFoundation ModelsComputer VisionRobotics

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Scale & Reliability

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Jupyter Notebook100.0%

Timeline

Project created
Dec 16, 2020
Forked
Mar 13, 2026
Your last push
1 months ago
Upstream last push
19 days ago
Tracked since
Feb 18, 2026

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