Models
4M vs. Mask RCNN

4M vs. Mask RCNN

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

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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Mask RCNN

Mask RCNN is a convolutional neural network for instance segmentation.
Model Type
Multimodal Model
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Instance Segmentation
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Model Features
Item 1 Info
Item 2 Info
Architecture
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Frameworks
PyTorch
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
1.1k
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24k+
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License
Apache 2.0
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MIT
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Training Notebook

Compare 4M and Mask RCNN with Autodistill

Compare 4M vs. Mask RCNN

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.