Models
YOLOv7 vs. MobileNet SSD v2

YOLOv7 vs. MobileNet SSD v2

Both YOLOv7 and MobileNet SSD v2 are commonly used in computer vision projects. Below, we compare and contrast YOLOv7 and MobileNet SSD v2.

Models

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YOLOv7

YOLOv7 is a state of the art object detection model.
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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
Object Detection
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
YOLO, CNN
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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
13.0k+
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81+
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License
GPL-3.0
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MIT
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Training Notebook

Compare YOLOv7 and MobileNet SSD v2 with Autodistill