Models
YOLOv11 vs. Mask RCNN

YOLOv11 vs. Mask RCNN

Both YOLO11 and Mask RCNN are commonly used in computer vision projects. Below, we compare and contrast YOLO11 and Mask RCNN.

Models

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YOLO11

YOLO11 is a computer vision model that you can use for object detection, segmentation, and classification.
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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
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Architecture
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Frameworks
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
29000
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24k+
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License
AGPL-3.0
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MIT
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Training Notebook

Compare YOLO11 and Mask RCNN with Autodistill

Compare YOLOv11 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.