Models
OpenAI CLIP vs. YOLOS

OpenAI CLIP vs. YOLOS

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

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.
Learn more about OpenAI CLIP
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YOLOS

YOLOS looks at patches of an image to to form "patch tokens", which are used in place of the traditional wordpiece tokens in NLP.
Learn more about YOLOS
Model Type
Classification
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
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Transformer, YOLO
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Frameworks
PyTorch
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
21.4k+
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812+
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License
MIT
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MIT
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Training Notebook

Compare OpenAI CLIP and YOLOS with Autodistill

Models

OpenAI CLIP vs. YOLOS

.

Both

OpenAI CLIP

and

YOLOS

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

OpenAI CLIP

and

YOLOS
  OpenAI CLIP YOLOS
Date of Release Jan 05, 2021 Jun 01, 2021
Model Type Classification Object Detection
Architecture Transformer, YOLO
GitHub Stars 21400 812

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.

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix

YOLOS

YOLOS looks at patches of an image to to form "patch tokens", which are used in place of the traditional wordpiece tokens in NLP.

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix

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