Models
OpenAI CLIP vs. MobileNet SSD v2

OpenAI CLIP vs. MobileNet SSD v2

Both OpenAI CLIP and MobileNet SSD v2 are commonly used in computer vision projects. Below, we compare and contrast OpenAI CLIP and MobileNet SSD v2.

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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MobileNet SSD v2

This architecture provides good realtime results on limited compute. It's designed to run in realtime (30 frames per second) even on mobile devices.
Model Type
Classification
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Object Detection
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Model Features
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Item 2 Info
Architecture
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Frameworks
PyTorch
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TensorFlow 1.5
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
21.4k+
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81+
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License
MIT
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MIT
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Training Notebook

Compare OpenAI CLIP and MobileNet SSD v2 with Autodistill

Compare OpenAI CLIP vs. MobileNet SSD v2

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.