Models
YOLOv3 Keras vs. OpenAI CLIP

YOLOv3 Keras vs. OpenAI CLIP

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

Models

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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.
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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
YOLO
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Frameworks
Keras
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
7.1k+
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21.4k+
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License
MIT
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MIT
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Training Notebook

Compare YOLOv3 Keras and OpenAI CLIP with Autodistill