Models
YOLOv9 vs. EfficientNet

YOLOv9 vs. EfficientNet

Both YOLOv9 and EfficientNet are commonly used in computer vision projects. Below, we compare and contrast YOLOv9 and EfficientNet.

Models

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YOLOv9

YOLOv9 is an object detection model architecture released on February 21st, 2024.
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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
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Item 2 Info
Architecture
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
8.5k+
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License
GPL-3.0
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Training Notebook

Compare YOLOv9 and EfficientNet with Autodistill

Compare YOLOv9 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.