Models
YOLO11 vs. EfficientNet

YOLO11 vs. EfficientNet

Both YOLO11 and EfficientNet are commonly used in computer vision projects. Below, we compare and contrast YOLO11 and EfficientNet.

Models

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YOLO11

YOLO11 is a computer vision model that you can use for object detection, segmentation, and classification.
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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
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CNN
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Frameworks
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Keras
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
29000
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License
AGPL-3.0
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Training Notebook

Compare YOLO11 and EfficientNet with Autodistill

Compare YOLO11 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.