Models

MobileNet V2 Classification vs. YOLOR

Both

MobileNet V2 Classification

and

YOLOR

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

MobileNet V2 Classification

and

YOLOR

.

  MobileNet V2 Classification YOLOR
Date of Release May 10, 2021
Model Type Classification Object Detection
Architecture CNN, YOLO
GitHub Stars 1800

MobileNet V2 Classification

MobileNet is a GoogleAI model well-suited for on-device, real-time classification (distinct from MobileNetSSD, Single Shot Detector). This implementation leverages transfer learning from ImageNet to your dataset.

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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