Models
Faster R-CNN vs. YOLOS

Faster R-CNN vs. YOLOS

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

Models

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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.
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YOLOS

YOLOS looks at patches of an image to to form "patch tokens", which are used in place of the traditional wordpiece tokens in NLP.
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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Transformer, YOLO
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Frameworks
TensorFlow 1.5
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
7.5k+
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812+
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License
MIT
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MIT
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Training Notebook

Compare Faster R-CNN and YOLOS with Autodistill