Models
OpenAI CLIP vs. Scaled-YOLOv4

OpenAI CLIP vs. Scaled-YOLOv4

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

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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Scaled YOLOv4

Scaled YOLOv4 is an extension of the YOLOv4 research implemented in the YOLOv5 PyTorch framework.
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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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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2k+
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License
MIT
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GPL-3.0
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Training Notebook

Compare OpenAI CLIP and Scaled YOLOv4 with Autodistill