Models
OpenAI CLIP vs. YOLOv3 Keras

OpenAI CLIP vs. YOLOv3 Keras

Both OpenAI CLIP and YOLOv3 Keras are commonly used in computer vision projects. Below, we compare and contrast OpenAI CLIP and YOLOv3 Keras.

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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YOLOv3 Keras

Though it is no longer the most accurate object detection algorithm, YOLO v3 is still a very good choice when you need real-time detection while maintaining excellent accuracy. Keras implementation.
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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Keras
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
21.4k+
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7.1k+
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License
MIT
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MIT
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Training Notebook

Compare OpenAI CLIP and YOLOv3 Keras with Autodistill

Compare OpenAI CLIP vs. YOLOv3 Keras

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.