Models
Scaled-YOLOv4 vs. OpenAI CLIP

Scaled-YOLOv4 vs. OpenAI CLIP

Both Scaled YOLOv4 and OpenAI CLIP are commonly used in computer vision projects. Below, we compare and contrast Scaled YOLOv4 and OpenAI CLIP.

Models

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Scaled YOLOv4

Scaled YOLOv4 is an extension of the YOLOv4 research implemented in the YOLOv5 PyTorch framework.
Learn more about Scaled YOLOv4
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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
YOLO
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Frameworks
PyTorch
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
2k+
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21.4k+
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License
GPL-3.0
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MIT
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Training Notebook

Compare Scaled YOLOv4 and OpenAI CLIP with Autodistill

Models

Scaled-YOLOv4 vs. OpenAI CLIP

.

Both

Scaled YOLOv4

and

OpenAI CLIP

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

Scaled YOLOv4

and

OpenAI CLIP
  Scaled YOLOv4 OpenAI CLIP
Date of Release Jan 05, 2021
Model Type Object Detection Classification
Architecture YOLO
GitHub Stars 2000 21400

Scaled YOLOv4

Scaled YOLOv4 is an extension of the YOLOv4 research implemented in the YOLOv5 PyTorch framework.

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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