Models
YOLOX vs. Mask RCNN

YOLOX vs. Mask RCNN

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

Models

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YOLOX

YOLOX is a high-performance object detection model.
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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
CNN, YOLO
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Frameworks
PyTorch
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
8.9k+
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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 YOLOX and Mask RCNN with Autodistill

Compare YOLOX 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.