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EfficientNet vs. YOLOv4 Tiny

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EfficientNet vs. YOLOv4 Tiny

Both

EfficientNet

and

YOLOv4 Tiny

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

EfficientNet

and

YOLOv4 Tiny

.

  EfficientNet YOLOv4 Tiny
Date of Release May 28, 2019 Nov 09, 2020
Model Type Classification Object Detection
Architecture CNN ResNet-D, YOLO
GitHub Stars 7200

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

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
Learn more about EfficientNet
Learn more about YOLOv4 Tiny

Compare EfficientNet to other models

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

Compare YOLOv4 Tiny to other models

YOLOv8 Instance Segmentation
YOLOv8
YOLOv7 Instance Segmentation
OneFormer
MobileNet V2 Classification

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