Models
YOLOv8 vs. Mask RCNN

YOLOv8 vs. Mask RCNN

Both YOLOv8 and Mask RCNN are commonly used in computer vision projects. Below, we compare and contrast YOLOv8 and Mask RCNN.

Models

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YOLOv8

YOLOv8 is a state-of-the-art object detection and image segmentation model created by Ultralytics, the developers of YOLOv5.
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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
YOLO, CNN
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Frameworks
PyTorch
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
21.1k+
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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 YOLOv8 and Mask RCNN with Autodistill

Compare YOLOv8 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.