Models
YOLOv8 vs. Faster R-CNN

YOLOv8 vs. Faster R-CNN

Both YOLOv8 and Faster R-CNN are commonly used in computer vision projects. Below, we compare and contrast YOLOv8 and Faster R-CNN.

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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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.
Model Type
Object Detection
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Object Detection
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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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TensorFlow 1.5
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
21.1k+
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7.5k+
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License
AGPL-3.0
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MIT
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Training Notebook

Compare YOLOv8 and Faster R-CNN with Autodistill