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.
Learn more about YOLOv7
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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.
Learn more about MobileNet SSD v2
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
12.5k+
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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

Models

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
  YOLOv7 MobileNet SSD v2
Date of Release Jul 06, 2022 Jan 13, 2018
Model Type Object Detection Object Detection
Architecture YOLO, CNN
GitHub Stars 12500 81

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.

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix

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