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YOLOv4 Tiny vs. MobileNet V2 Classification

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YOLOv4 Tiny vs. MobileNet V2 Classification

Both

YOLOv4 Tiny

and

MobileNet V2 Classification

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

YOLOv4 Tiny

and

MobileNet V2 Classification

.

  YOLOv4 Tiny MobileNet V2 Classification
Date of Release Nov 09, 2020
Model Type Object Detection Classification
Architecture ResNet-D, YOLO
GitHub Stars

YOLOv4 Tiny

The tiny and fast version of YOLOv4 - good for training and deployment on limited compute resources, and getting a feel for your dataset

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 YOLOv4 Tiny
Learn more about MobileNet V2 Classification

Compare YOLOv4 Tiny to other models

MobileNet V2 Classification
MobileNet SSD v2
YOLOv3 Keras
YOLOv3 PyTorch
ResNet 32

Compare MobileNet V2 Classification to other models

YOLOv8 Instance Segmentation
YOLOv8
YOLOv7 Instance Segmentation
OneFormer
YOLOv3 Keras

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