Models
YOLOS vs. OpenAI CLIP

YOLOS vs. OpenAI CLIP

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

Models

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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
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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
Model Type
Object Detection
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Classification
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Model Features
Item 1 Info
Item 2 Info
Architecture
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
812+
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21.4k+
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License
MIT
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MIT
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Training Notebook

Compare YOLOS and OpenAI CLIP with Autodistill

Models

YOLOS vs. OpenAI CLIP

.

Both

YOLOS

and

OpenAI CLIP

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

YOLOS

and

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

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

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

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