Models
YOLOv5 vs. EfficientNet

YOLOv5 vs. EfficientNet

Both YOLOv5 and EfficientNet are commonly used in computer vision projects. Below, we compare and contrast YOLOv5 and EfficientNet.

Models

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YOLOv5

A very fast and easy to use PyTorch model that achieves state of the art (or near state of the art) results.
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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.
Model Type
Object Detection
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Classification
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Model Features
Item 1 Info
Item 2 Info
Architecture
CNN, YOLO
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CNN
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Frameworks
PyTorch
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Keras
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
46k+
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License
AGPL-3.0
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Training Notebook

Compare YOLOv5 and EfficientNet with Autodistill

Compare YOLOv5 vs. EfficientNet

Provide your own image below to test YOLOv8 and YOLOv9 model checkpoints trained on the Microsoft COCO dataset.

COCO can detect 80 common objects, including cats, cell phones, and cars.