Models
YOLOv5 vs. OpenAI CLIP

YOLOv5 vs. OpenAI CLIP

Both YOLOv5 and OpenAI CLIP are commonly used in computer vision projects. Below, we compare and contrast YOLOv5 and OpenAI CLIP.

Models

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YOLOv5

A very fast and easy to use PyTorch model that achieves state of the art (or near state of the art) results.
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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.
Model Type
Object Detection
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Classification
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Model Features
Item 1 Info
Item 2 Info
Architecture
CNN, YOLO
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Frameworks
PyTorch
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
46k+
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21.4k+
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License
AGPL-3.0
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MIT
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Training Notebook

Compare YOLOv5 and OpenAI CLIP with Autodistill

Compare YOLOv5 vs. OpenAI CLIP

Provide your own image below to test YOLOv8 and YOLOv9 model checkpoints trained on the Microsoft COCO dataset.

COCO can detect 80 common objects, including cats, cell phones, and cars.