Models

EfficientNet vs. YOLOR

Both

EfficientNet

and

YOLOR

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

EfficientNet

and

YOLOR

.

  EfficientNet YOLOR
Date of Release May 28, 2019 May 10, 2021
Model Type Classification Object Detection
Architecture CNN CNN, YOLO
GitHub Stars 7200 1800

EfficientNet

EfficientNet is from a family of image classification models from GoogleAI that train comparatively quickly on small amounts of data, making the most of limited datasets.

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

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

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