Faster R-CNN vs. Detectron2

Both Faster R-CNN and Detectron2 are commonly used in computer vision projects. Below, we compare and contrast Faster R-CNN and Detectron2.

Models

Faster R-CNN

One of the most accurate object detection algorithms but requires a lot of power at inference time. A good choice if you can do processing asynchronously on a server.

Learn more about Faster R-CNN

Detectron2

Detectron2 is model zoo of it's own for computer vision models written in PyTorch.

Learn more about Detectron2

Model Type

Object Detection

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Object Detection

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Model Features

Item 1 Info

Item 2 Info

Architecture

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Frameworks

TensorFlow 1.5

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PyTorch

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Annotation Format

Instance Segmentation

Instance Segmentation

GitHub

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GitHub Stars

7.5k+

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28.4k+

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License

MIT

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Apache-2.0

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Paper

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Training Notebook

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Deploy Model

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Deploy with Roboflow

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Deploy with Roboflow

Compare Faster R-CNN and Detectron2 with Autodistill

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Faster R-CNN vs. Detectron2

Faster R-CNN vs. Detectron2

.

Both

Faster R-CNN

and

Detectron2

are commonly used in computer vision projects. Below, we compare and contrast

Faster R-CNN

and

Detectron2

	Faster R-CNN	Detectron2
Date of Release
Model Type	Object Detection	Object Detection
Architecture
GitHub Stars	7500	28400

Faster R-CNN

One of the most accurate object detection algorithms but requires a lot of power at inference time. A good choice if you can do processing asynchronously on a server.

How to Augment How to Label How to Plot Predictions How to Filter Predictions How to Create a Confusion Matrix

Detectron2

Detectron2 is model zoo of it's own for computer vision models written in PyTorch.

How to Augment How to Label How to Plot Predictions How to Filter Predictions How to Create a Confusion Matrix

Learn more about Faster R-CNN

Learn more about Detectron2

Compare Faster R-CNN to other models

MobileNet V2 Classification

MobileNet SSD v2

Compare Detectron2 to other models

YOLOv8 Instance Segmentation

YOLOv7 Instance Segmentation

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