Models
YOLO26 vs. EfficientNet

YOLO26 vs. EfficientNet

Both YOLO26 and EfficientNet are commonly used in computer vision projects. Below, we compare and contrast YOLO26 and EfficientNet.

Models

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YOLO26

YOLO26 is a real-time, NMS-free YOLO model optimized for edge deployment, supporting multiple vision tasks across scalable model sizes.
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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
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CNN
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Annotation Format
Instance Segmentation
Instance Segmentation
Framework
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Keras
GitHub Stars
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License
AGPL-3.0
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Training Notebook

Compare YOLO26 and EfficientNet with Autodistill

Compare YOLO26 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.