Models
YOLOS vs. Mask RCNN

YOLOS vs. Mask RCNN

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

Models

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YOLOS

YOLOS looks at patches of an image to to form "patch tokens", which are used in place of the traditional wordpiece tokens in NLP.
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Mask RCNN

Mask RCNN is a convolutional neural network for instance segmentation.
Model Type
Object Detection
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Instance Segmentation
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Model Features
Item 1 Info
Item 2 Info
Architecture
Transformer, YOLO
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Frameworks
PyTorch
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
812+
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24k+
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License
MIT
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MIT
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Training Notebook

Compare YOLOS and Mask RCNN with Autodistill

Compare YOLOS 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.