Models
YOLOv3 PyTorch vs. MobileNet SSD v2

YOLOv3 PyTorch vs. MobileNet SSD v2

Both YOLOv3 PyTorch and MobileNet SSD v2 are commonly used in computer vision projects. Below, we compare and contrast YOLOv3 PyTorch and MobileNet SSD v2.

Models

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YOLOv3 PyTorch

Though it is no longer the most accurate object detection algorithm, YOLO v3 is still a very good choice when you need real-time detection while maintaining excellent accuracy. PyTorch version.
Learn more about YOLOv3 PyTorch
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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
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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
7.2k+
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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 YOLOv3 PyTorch and MobileNet SSD v2 with Autodistill

Models

YOLOv3 PyTorch vs. MobileNet SSD v2

.

Both

YOLOv3 PyTorch

and

MobileNet SSD v2

are commonly used in computer vision projects. Below, we compare and contrast

YOLOv3 PyTorch

and

MobileNet SSD v2
  YOLOv3 PyTorch MobileNet SSD v2
Date of Release Apr 08, 2018 Jan 13, 2018
Model Type Object Detection Object Detection
Architecture YOLO
GitHub Stars 7200 81

YOLOv3 PyTorch

Though it is no longer the most accurate object detection algorithm, YOLO v3 is still a very good choice when you need real-time detection while maintaining excellent accuracy. PyTorch version.

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

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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