Models
YOLOv8 vs. MobileNet SSD v2

YOLOv8 vs. MobileNet SSD v2

Both YOLOv8 and MobileNet SSD v2 are commonly used in computer vision projects. Below, we compare and contrast YOLOv8 and MobileNet SSD v2.

Models

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YOLOv8

YOLOv8 is a state-of-the-art object detection and image segmentation model created by Ultralytics, the developers of YOLOv5.
Learn more about YOLOv8
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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
21.1k+
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81+
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License
AGPL-3.0
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MIT
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Training Notebook

Compare YOLOv8 and MobileNet SSD v2 with Autodistill

Models

YOLOv8 vs. MobileNet SSD v2

.

Both

YOLOv8

and

MobileNet SSD v2

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

YOLOv8

and

MobileNet SSD v2
  YOLOv8 MobileNet SSD v2
Date of Release Jan 10, 2023 Jan 13, 2018
Model Type Object Detection Object Detection
Architecture YOLO, CNN
GitHub Stars 21100 81

YOLOv8

YOLOv8 is a state-of-the-art object detection and image segmentation model created by Ultralytics, the developers of YOLOv5.

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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