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YOLOS vs. MobileNet V2 Classification

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YOLOS vs. MobileNet V2 Classification

Both

YOLOS

and

MobileNet V2 Classification

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

YOLOS

and

MobileNet V2 Classification

.

  YOLOS MobileNet V2 Classification
Date of Release Jun 01, 2021
Model Type Object Detection Classification
Architecture Transformer, YOLO
GitHub Stars 648

YOLOS

YOLOS looks at patches of an image to to form "patch tokens", which are used in place of the traditional wordpiece tokens in NLP.

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

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
Learn more about YOLOS
Learn more about MobileNet V2 Classification

Compare YOLOS to other models

MobileNet V2 Classification
MobileNet SSD v2
YOLOv3 Keras
YOLOv3 PyTorch
YOLOv4 PyTorch

Compare MobileNet V2 Classification to other models

YOLOv8 Instance Segmentation
YOLOv8
YOLOv7 Instance Segmentation
OneFormer
YOLOv3 Keras

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