Models
Detectron2 vs. EfficientNet

Detectron2 vs. EfficientNet

Both Detectron2 and EfficientNet are commonly used in computer vision projects. Below, we compare and contrast Detectron2 and EfficientNet.

Models

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Detectron2

Detectron2 is model zoo of it's own for computer vision models written in PyTorch.
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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
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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
28.4k+
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License
Apache-2.0
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Training Notebook

Compare Detectron2 and EfficientNet with Autodistill

Compare Detectron2 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.