Models
4M vs. EfficientNet

4M vs. EfficientNet

Both 4M and EfficientNet are commonly used in computer vision projects. Below, we compare and contrast 4M and EfficientNet.

Models

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4M

The 4M model is a versatile multimodal Transformer model developed by EPFL and Apple, capable of handling a handful of vision and language 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
Multimodal Model
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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
1.1k
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License
Apache 2.0
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Training Notebook

Compare 4M and EfficientNet with Autodistill

Compare 4M 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.