Models
YOLOv8 Instance Segmentation vs. EfficientNet

YOLOv8 Instance Segmentation vs. EfficientNet

Both YOLOv8 Instance Segmentation and EfficientNet are commonly used in computer vision projects. Below, we compare and contrast YOLOv8 Instance Segmentation and EfficientNet.

Models

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YOLOv8 Instance Segmentation

The state-of-the-art YOLOv8 model comes with support for instance segmentation tasks.
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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
Instance Segmentation
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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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Frameworks
PyTorch
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Keras
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
21.1k+
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License
AGPL-3.0
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Training Notebook

Compare YOLOv8 Instance Segmentation and EfficientNet with Autodistill

Compare YOLOv8 Instance Segmentation 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.