Models
Florence 2 Image Segmentation vs. EfficientNet

Florence 2 Image Segmentation vs. EfficientNet

Both Florence 2 Image Segmentation and EfficientNet are commonly used in computer vision projects. Below, we compare and contrast Florence 2 Image Segmentation and EfficientNet.

Models

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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
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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
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License
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Training Notebook

Compare Florence 2 Image Segmentation and EfficientNet with Autodistill

Compare Florence 2 Image 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.