Models
YOLOv7 vs. EfficientNet

YOLOv7 vs. EfficientNet

Both YOLOv7 and EfficientNet are commonly used in computer vision projects. Below, we compare and contrast YOLOv7 and EfficientNet.

Models

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YOLOv7

YOLOv7 is a state of the art object detection model.
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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
YOLO, CNN
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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
13.0k+
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License
GPL-3.0
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Training Notebook

Compare YOLOv7 and EfficientNet with Autodistill

Compare YOLOv7 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.