Models
MobileNet SSD v2 vs. Scaled-YOLOv4

MobileNet SSD v2 vs. Scaled-YOLOv4

Both MobileNet SSD v2 and Scaled YOLOv4 are commonly used in computer vision projects. Below, we compare and contrast MobileNet SSD v2 and Scaled YOLOv4.

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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Scaled YOLOv4

Scaled YOLOv4 is an extension of the YOLOv4 research implemented in the YOLOv5 PyTorch framework.
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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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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2k+
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License
MIT
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GPL-3.0
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Training Notebook

Compare MobileNet SSD v2 and Scaled YOLOv4 with Autodistill