Models
MobileNet SSD v2 vs. YOLOv5

MobileNet SSD v2 vs. YOLOv5

Both MobileNet SSD v2 and YOLOv5 are commonly used in computer vision projects. Below, we compare and contrast MobileNet SSD v2 and YOLOv5.

Models

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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.
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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.
Model Type
Object Detection
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
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CNN, YOLO
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Frameworks
TensorFlow 1.5
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
81+
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46k+
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License
MIT
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AGPL-3.0
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Training Notebook

Compare MobileNet SSD v2 and YOLOv5 with Autodistill