Models
YOLOR vs. MobileNet SSD v2

YOLOR vs. MobileNet SSD v2

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

Models

icon-model

YOLOR

YOLOR (You Only Learn One Representation) is an object detection model that uses both implicit and explicit knowledge to make predictions.
Learn more about YOLOR
icon-model

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
CNN, 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
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 YOLOR and MobileNet SSD v2 with Autodistill

Models

YOLOR vs. MobileNet SSD v2

.

Both

YOLOR

and

MobileNet SSD v2

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

YOLOR

and

MobileNet SSD v2
  YOLOR MobileNet SSD v2
Date of Release May 10, 2021 Jan 13, 2018
Model Type Object Detection Object Detection
Architecture CNN, YOLO
GitHub Stars 2000 81

YOLOR

YOLOR (You Only Learn One Representation) is an object detection model that uses both implicit and explicit knowledge to make predictions.

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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