Models
RF-DETR vs. Mask RCNN

RF-DETR vs. Mask RCNN

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

Models

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RF-DETR

RF-DETR is a SOTA, real-time object detection model architecture developed by Roboflow and released under the Apache 2.0 license.
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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
Transformers
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Frameworks
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
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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 RF-DETR and Mask RCNN with Autodistill

Compare RF-DETR 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.